{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "45ea739e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pyecharts.charts as pyc\n",
    "import pyecharts.options as opts\n",
    "import warnings\n",
    "from datetime import datetime\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "#中文显示\n",
    "plt.rcParams['font.family'] = ['sans-serif']\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "f96aee12",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: seaborn in d:\\python310\\lib\\site-packages (0.12.2)\n",
      "Requirement already satisfied: pyecharts in d:\\python310\\lib\\site-packages (2.0.3)\n",
      "Requirement already satisfied: numpy!=1.24.0,>=1.17 in d:\\python310\\lib\\site-packages (from seaborn) (1.24.2)\n",
      "Requirement already satisfied: pandas>=0.25 in d:\\python310\\lib\\site-packages (from seaborn) (2.0.0)\n",
      "Requirement already satisfied: matplotlib!=3.6.1,>=3.1 in d:\\python310\\lib\\site-packages (from seaborn) (3.7.1)\n",
      "Requirement already satisfied: jinja2 in d:\\python310\\lib\\site-packages (from pyecharts) (3.1.2)\n",
      "Requirement already satisfied: prettytable in d:\\python310\\lib\\site-packages (from pyecharts) (3.7.0)\n",
      "Requirement already satisfied: simplejson in d:\\python310\\lib\\site-packages (from pyecharts) (3.19.1)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in d:\\python310\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.0.7)\n",
      "Requirement already satisfied: cycler>=0.10 in d:\\python310\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (0.11.0)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in d:\\python310\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (4.39.3)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in d:\\python310\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.4.4)\n",
      "Requirement already satisfied: packaging>=20.0 in d:\\python310\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (23.1)\n",
      "Requirement already satisfied: pillow>=6.2.0 in d:\\python310\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (9.5.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in d:\\python310\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (3.0.9)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in d:\\python310\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2020.1 in d:\\python310\\lib\\site-packages (from pandas>=0.25->seaborn) (2023.3)\n",
      "Requirement already satisfied: tzdata>=2022.1 in d:\\python310\\lib\\site-packages (from pandas>=0.25->seaborn) (2023.3)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in d:\\python310\\lib\\site-packages (from jinja2->pyecharts) (2.1.2)\n",
      "Requirement already satisfied: wcwidth in d:\\python310\\lib\\site-packages (from prettytable->pyecharts) (0.2.6)\n",
      "Requirement already satisfied: six>=1.5 in d:\\python310\\lib\\site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.1->seaborn) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install seaborn pyecharts\n",
    "pip install mlxtend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "5e99feb9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 加载数据\n",
    "\n",
    "df_trade = pd.read_csv(r'tianchi_mum_baby_trade_history.csv')\n",
    "\n",
    "df_baby = pd.read_csv(r'tianchi_mum_baby.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "b1f0c524",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>birthday</th>\n",
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      ],
      "text/plain": [
       "    user_id  birthday  gender\n",
       "0      2757  20210311       1\n",
       "1    415971  20201111       0\n",
       "2   1372572  20200130       1\n",
       "3  10339332  20190910       0\n",
       "4  10642245  20210213       0"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_baby['birthday']=df_baby['birthday'].apply(lambda x:x+80000 )\n",
    "df_baby.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "41b50be3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>auction_id</th>\n",
       "      <th>category_2</th>\n",
       "      <th>category_1</th>\n",
       "      <th>buy_mount</th>\n",
       "      <th>day</th>\n",
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       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>1</td>\n",
       "      <td>20221103</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     user_id   auction_id  category_2  category_1  buy_mount       day\n",
       "0  786295544  41098319944    50014866    50022520          2  20220919\n",
       "1  532110457  17916191097    50011993          28          1  20211011\n",
       "2  249013725  21896936223    50012461    50014815          1  20211011\n",
       "3  917056007  12515996043    50018831    50014815          2  20221023\n",
       "4  444069173  20487688075    50013636    50008168          1  20221103"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trade['day']=df_trade['day'].apply(lambda x:x+80000 )\n",
    "df_trade.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "335e469c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id       int64\n",
       "auction_id    int64\n",
       "category_2    int64\n",
       "category_1    int64\n",
       "buy_mount     int64\n",
       "day           int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trade.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98c7bd5a",
   "metadata": {},
   "source": [
    "### 可以看到，pandas将6个字段均识别为int类型，我们将day转化为datetime类型："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "a0cbc41f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>category_2</th>\n",
       "      <th>category_1</th>\n",
       "      <th>buy_mount</th>\n",
       "      <th>day</th>\n",
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       "      <td>2022-09-19</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>50012461</td>\n",
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       "      <td>1</td>\n",
       "      <td>2021-10-11</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>917056007</td>\n",
       "      <td>12515996043</td>\n",
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       "      <td>50014815</td>\n",
       "      <td>2</td>\n",
       "      <td>2022-10-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>1</td>\n",
       "      <td>2022-11-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     user_id   auction_id  category_2  category_1  buy_mount        day\n",
       "0  786295544  41098319944    50014866    50022520          2 2022-09-19\n",
       "1  532110457  17916191097    50011993          28          1 2021-10-11\n",
       "2  249013725  21896936223    50012461    50014815          1 2021-10-11\n",
       "3  917056007  12515996043    50018831    50014815          2 2022-10-23\n",
       "4  444069173  20487688075    50013636    50008168          1 2022-11-03"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trade['day'] = pd.to_datetime(df_trade.day.astype('str'))\n",
    "df_trade.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8af30538",
   "metadata": {},
   "source": [
    "### 为df_trade表增加对应的字段：年、季、月、周"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "94e22b91",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>auction_id</th>\n",
       "      <th>category_2</th>\n",
       "      <th>category_1</th>\n",
       "      <th>buy_mount</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>quarter</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
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       "      <td>2022-09-19</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
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       "      <td>202238</td>\n",
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       "      <td>2021</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>202141</td>\n",
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       "      <td>12515996043</td>\n",
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       "      <td>50014815</td>\n",
       "      <td>2</td>\n",
       "      <td>2022-10-23</td>\n",
       "      <td>2022</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>202242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>444069173</td>\n",
       "      <td>20487688075</td>\n",
       "      <td>50013636</td>\n",
       "      <td>50008168</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-11-03</td>\n",
       "      <td>2022</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>202244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     user_id   auction_id  category_2  category_1  buy_mount        day  year   \n",
       "0  786295544  41098319944    50014866    50022520          2 2022-09-19  2022  \\\n",
       "1  532110457  17916191097    50011993          28          1 2021-10-11  2021   \n",
       "2  249013725  21896936223    50012461    50014815          1 2021-10-11  2021   \n",
       "3  917056007  12515996043    50018831    50014815          2 2022-10-23  2022   \n",
       "4  444069173  20487688075    50013636    50008168          1 2022-11-03  2022   \n",
       "\n",
       "   quarter  month    week  \n",
       "0        3      9  202238  \n",
       "1        4     10  202141  \n",
       "2        4     10  202141  \n",
       "3        4     10  202242  \n",
       "4        4     11  202244  "
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trade['year'] = df_trade.day.dt.year\n",
    "df_trade['quarter'] = df_trade.day.dt.quarter\n",
    "df_trade['month'] = df_trade.day.dt.month\n",
    "df_trade['week'] = df_trade['day'].apply(lambda x:int(str(x.isocalendar()[0]) + ('0'+str(x.isocalendar()[1]) if len(str(x.isocalendar()[1]))<2 else str(x.isocalendar()[1]) )))\n",
    "df_trade.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "894051ce",
   "metadata": {},
   "source": [
    "### 我们来看下df_trade表的时间跨度，从12年7月份到15年2月份，其中完整的年份是21、22年："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "de584dc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                            29940\n",
       "mean     2022-01-16 16:49:15.030060032\n",
       "min                2020-07-02 00:00:00\n",
       "25%                2021-06-20 00:00:00\n",
       "50%                2022-03-05 12:00:00\n",
       "75%                2022-09-09 00:00:00\n",
       "max                2023-02-05 00:00:00\n",
       "Name: day, dtype: object"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trade.day.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c26c694",
   "metadata": {},
   "source": [
    "### 我们再来宏观看下交易量："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "77ec0312",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    29940.000000\n",
       "mean         1.656179\n",
       "std          5.026888\n",
       "min          1.000000\n",
       "25%          1.000000\n",
       "50%          1.000000\n",
       "75%          1.000000\n",
       "max        176.000000\n",
       "Name: buy_mount, dtype: float64"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trade.buy_mount.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a87dc40",
   "metadata": {},
   "source": [
    "### 可以看到，大部分的购买数量都是1（75%水位），但是最大值有10000次，考虑到母婴行业的特性，正常消费场景下，一般很少有一次性购买10000件的商品。一般我们取标准差(std)3倍以内的数据作为正常区间，63 * 3 = 189，我们保留buy_mount 189以内的数据："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "04bc9a79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    29940.000000\n",
       "mean         1.656179\n",
       "std          5.026888\n",
       "min          1.000000\n",
       "25%          1.000000\n",
       "50%          1.000000\n",
       "75%          1.000000\n",
       "max        176.000000\n",
       "Name: buy_mount, dtype: float64"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trade = df_trade[(df_trade.buy_mount >= 1) & (df_trade.buy_mount <= 189)]\n",
    "df_trade.buy_mount.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f142a6c3",
   "metadata": {},
   "source": [
    "### 可以看到，df_trade表原始数据有29971条，过滤后的数据有29940条"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "7ddb659e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "用户数 29913\n",
      "交易数 28392\n",
      "商品一级类目数： 6\n",
      "商品二级类目数： 662\n",
      "总销量： 49586\n"
     ]
    }
   ],
   "source": [
    "count_user = df_trade.user_id.nunique()\n",
    "count_auction = df_trade.auction_id.nunique()\n",
    "count_category_1 = df_trade.category_1.nunique()\n",
    "count_category_2 = df_trade.category_2.nunique()\n",
    "count_buy_mount = df_trade.buy_mount.sum()\n",
    "print(\"用户数\", count_user)\n",
    "print(\"交易数\", count_auction)\n",
    "print(\"商品一级类目数：\", count_category_1)\n",
    "print(\"商品二级类目数：\", count_category_2)\n",
    "print(\"总销量：\", count_buy_mount)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "552593c8",
   "metadata": {},
   "source": [
    "### 我们对df_baby表也做类似处理，为方便分析，过滤掉性别“未知”的数据条目："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "e3c6eb17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id     926\n",
       "birthday    926\n",
       "gender      926\n",
       "age         926\n",
       "dtype: int64"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_baby.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "3044dbed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>birthday</th>\n",
       "      <th>gender</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2757</td>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>415971</td>\n",
       "      <td>2020-11-11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1372572</td>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10339332</td>\n",
       "      <td>2019-09-10</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10642245</td>\n",
       "      <td>2021-02-13</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>2020957900</td>\n",
       "      <td>2022-04-30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>949</th>\n",
       "      <td>2080304899</td>\n",
       "      <td>2018-07-13</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>950</th>\n",
       "      <td>2114469016</td>\n",
       "      <td>2022-04-16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951</th>\n",
       "      <td>2186831536</td>\n",
       "      <td>2022-05-19</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>952</th>\n",
       "      <td>2254611367</td>\n",
       "      <td>2019-10-31</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>926 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        user_id   birthday  gender  age\n",
       "0          2757 2021-03-11       1    1\n",
       "1        415971 2020-11-11       0    2\n",
       "2       1372572 2020-01-30       1    3\n",
       "3      10339332 2019-09-10       0    3\n",
       "4      10642245 2021-02-13       0    1\n",
       "..          ...        ...     ...  ...\n",
       "948  2020957900 2022-04-30       0    0\n",
       "949  2080304899 2018-07-13       0    4\n",
       "950  2114469016 2022-04-16       0    0\n",
       "951  2186831536 2022-05-19       1    0\n",
       "952  2254611367 2019-10-31       0    3\n",
       "\n",
       "[926 rows x 4 columns]"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_baby = df_baby[df_baby.gender != 2]\n",
    "df_baby"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46bdfd2d",
   "metadata": {},
   "source": [
    "### 同样的，我们将birthday字段转为datetime类型："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "67e1861d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                              926\n",
       "mean     2020-03-15 15:00:23.326134016\n",
       "min                2010-12-05 00:00:00\n",
       "25%                2019-02-12 00:00:00\n",
       "50%                2020-08-07 12:00:00\n",
       "75%                2021-09-26 18:00:00\n",
       "max                2023-08-15 00:00:00\n",
       "Name: birthday, dtype: object"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_baby['birthday'] = pd.to_datetime(df_baby.birthday.astype('str'))\n",
    "df_baby.birthday.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df9860ee",
   "metadata": {},
   "source": [
    "### 我们发现居然有1984年出生的婴儿数据，因为淘宝网是2003年才诞生的，网购的消费习惯多形成在2020年前后，因此我们剔除掉异常的生日数据："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "888832e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                              926\n",
       "mean     2020-03-15 15:00:23.326134016\n",
       "min                2010-12-05 00:00:00\n",
       "25%                2019-02-12 00:00:00\n",
       "50%                2020-08-07 12:00:00\n",
       "75%                2021-09-26 18:00:00\n",
       "max                2023-08-15 00:00:00\n",
       "Name: birthday, dtype: object"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_baby = df_baby[df_baby.birthday > '2010-01-01']\n",
    "df_baby.birthday.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "e69d5e34",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "用户基本信息表数据的大小为 926\n",
      "商品交易信息表数据的大小为 29940\n",
      "用户基本信息表用户数量是： 926\n",
      "商品交易信息表用户数量是： 926\n",
      "数据一级商品类别数量是： 6\n",
      "数据二级商品类别数量是： 662\n",
      "婴儿年龄最大为：12 岁\n",
      "婴儿年龄最小为：0 岁\n",
      "交易日期长度： 948 days 00:00:00\n",
      "最早交易日期： 2020-07-02 00:00:00\n",
      "最晚日期长度： 2023-02-05 00:00:00\n"
     ]
    }
   ],
   "source": [
    "from dateutil.relativedelta import relativedelta\n",
    "print('用户基本信息表数据的大小为',len(df_baby))\n",
    "print('商品交易信息表数据的大小为',len(df_trade))\n",
    "print('用户基本信息表用户数量是：',len(set(df_baby['user_id'])))\n",
    "print('商品交易信息表用户数量是：',len(set(df_baby['user_id'])))\n",
    "print('数据一级商品类别数量是：',len(set(df_trade['category_1'])))\n",
    "print('数据二级商品类别数量是：',len(set(df_trade['category_2'])))\n",
    "print('婴儿年龄最大为：%s 岁'%relativedelta(df_trade['day'].max() , df_baby['birthday'].min()).years)\n",
    "print('婴儿年龄最小为：%s 岁'%relativedelta(df_trade['day'].max() , df_baby['birthday'].max()).years)\n",
    "print('交易日期长度：',df_trade['day'].max() - df_trade['day'].min())\n",
    "print('最早交易日期：',df_trade['day'].min())\n",
    "print('最晚日期长度：',df_trade['day'].max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "ff8c1e3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_baby['age'] = df_baby['birthday'].apply(lambda x:relativedelta(df_trade['day'].max() , x).years)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "a1b02c55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAh8AAAGzCAYAAACPa3XZAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAczUlEQVR4nO3dfYxddZ348c9t60xnmJmLLQqddaBNLWnlSYqtCMuGukRsBNsS1AhTG6LExLIrWzGlmwUWRWZ1kZCNCOITSsGHGFoMCglBayUWWzuUgGlpSyhtthbsssyd6UyH0rn7h7/eH0MH6NBzv2dm7uuV3OA958w9H/+Q8/Z7z723UC6XywEAkMi4vAcAAGqL+AAAkhIfAEBS4gMASEp8AABJiQ8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUhPyHgAY+f785z/HmWeeGXV1dUPuf+WVV+KJJ554y2M2b94c+/fvz/S46dOnv73/UkBuxAfwlsrlcsydOzcee+yxIfefffbZR3xM1scBo4+3XQCApMQHAJCU+AAAkhIfAEBS4gMASEp8AABJiQ8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUn5YDjgijz/+eBx77LFD7uvp6TniY6pxHDC6FMp+FhIASMjbLgBAUuIDAEhKfAAASY24G04HBgZi9+7d0dzcHIVCIe9xAIAjUC6Xo7u7O1pbW2PcuDdf2xhx8bF79+5oa2vLewwA4G3YtWtXvOc973nTY0ZcfDQ3N0fE34ZvaWnJeRoA4EiUSqVoa2urXMffzIiLj0NvtbS0tIgPABhljuSWCTecAgBJiQ8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUuIDAEhqxH3JGDA2HTx4MH7/+9/HX/7yl5gyZUqcd955MX78+LzHAnJg5QOouvvvvz/e+973xrx58+Kyyy6LefPmxXvf+964//778x4NyMGw42Pt2rVx8cUXR2traxQKhVi9enVl34EDB2L58uVx2mmnxTHHHBOtra3xmc98Jnbv3p3lzMAocv/998ell14ap512Wqxbty66u7tj3bp1cdppp8Wll14qQKAGDTs+9u3bF2eccUbcfvvth+3r7e2Nzs7OuO6666KzszPuv//+eOaZZ+LjH/94JsMCo8vBgwfjS1/6Ulx00UWxevXqOPvss6OpqSnOPvvsWL16dVx00UVxzTXXxMGDB/MeFUioUC6Xy2/7jwuFWLVqVSxcuPANj9mwYUPMnTs3nn/++TjxxBMP29/f3x/9/f2V54d+Fa+rq8sPy8Eot2bNmpg3b16sW7cuzj777MP2r1u3Ls4555z47W9/G+eff376AYHMlEqlKBaLR3T9rvo9H11dXVEoFOLYY48dcn9HR0cUi8XKo62trdojAYn85S9/iYiIU089dcj9h7YfOg6oDVWNj/3798fy5cvj05/+9BtW0IoVK6Krq6vy2LVrVzVHAhKaMmVKREQ8/fTTQ+4/tP3QcUBtqFp8HDhwID75yU9GuVyOO+644w2Pq6+vj5aWlkEPYGw477zzYurUqXHzzTfHwMDAoH0DAwPR0dER06ZNi/POOy+nCYE8VCU+DoXH888/H4888oiggBo1fvz4+OY3vxkPPvhgLFy4cNCnXRYuXBgPPvhg3HLLLb7vA2pM5l8ydig8tm3bFr/97W9j8uTJWZ8CGEUuueSS+MUvfhFf+tKX4pxzzqlsnzZtWvziF7+ISy65JMfpgDwMOz56enpi+/btlefPPfdcbNq0KSZNmhRTpkyJSy+9NDo7O+PBBx+MgwcPxp49eyIiYtKkSVFXV5fd5MCocckll8SCBQt8wykQEW/jo7aHPjr3ekuWLIl///d/j2nTpg35d0f6UbrhfFQHABgZhnP9HvbKx/nnnx9v1itH8bUhAEAN8NsuAEBS4gMASEp8AABJiQ8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AJLo6+uLq666Ki688MK46qqroq+vL++RgJwUyuVyOe8hXqtUKkWxWIyurq5oaWnJexwgAwsXLowHHnjgsO0LFiyI1atXpx8IyNxwrt9WPoCqOhQedXV1ce2118b27dvj2muvjbq6unjggQdi4cKFeY8IJGblA6iavr6+aGxsjLq6uuju7o66urrKvldeeSWam5vjlVdeid7e3mhoaMhxUuBoWfkARoQvf/nLERGxbNmyQeEREVFXVxdXX331oOOA2iA+gKrZtm1bRER87nOfG3L/Zz/72UHHAbVBfABVM2PGjIiI+N73vjfk/u9///uDjgNqg3s+gKpxzwfUDvd8ACNCQ0NDLFiwoBIay5cvj61bt8by5csr4bFgwQLhATXGygdQdb7nA8a+4Vy/JySaCahhq1evjr6+vvjyl78c27ZtixkzZsR//ud/WvGAGiU+gCQaGhriW9/6Vt5jACOAez4AgKTEBwCQlPgAAJISHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AACSEh8AQFLiAwBISnwAAEmJDwAgKfEBACQlPoAkenp6YtGiRXH66afHokWLoqenJ++RgJxMyHsAYOybO3dubNiwofL8qaeeiubm5pgzZ06sX78+x8mAPAx75WPt2rVx8cUXR2traxQKhVi9evWg/eVyOa6//vqYMmVKNDQ0xAUXXBDbtm3Lal5glDkUHoVCIRYvXhxPPvlkLF68OAqFQmzYsCHmzp2b94hAYsOOj3379sUZZ5wRt99++5D7v/GNb8R//dd/xZ133hl//OMf45hjjokLL7ww9u/ff9TDAqNLT09PJTx6e3vjxz/+cZx++unx4x//OHp7eysB4i0YqC3Djo/58+fHTTfdFIsWLTpsX7lcjttuuy3+7d/+LRYsWFD5l8zu3bsPWyE5pL+/P0ql0qAHMDYsXrw4IiLa29tj4sSJg/ZNnDgxLrvsskHHAbUh0xtOn3vuudizZ09ccMEFlW3FYjE++MEPxrp164b8m46OjigWi5VHW1tbliMBOXr22WcjIuKaa64Zcv+yZcsGHQfUhkzjY8+ePRERcfzxxw/afvzxx1f2vd6KFSuiq6ur8ti1a1eWIwE5mj59ekRE3HLLLUPuv/XWWwcdB9SG3D9qW19fHy0tLYMewNhwzz33RETEypUrD7vva//+/XHfffcNOg6oDZnGxwknnBARES+88MKg7S+88EJlH1A7mpqaYs6cOVEul6OxsTHa29ujs7Mz2tvbo7GxMcrlcsyZMyeampryHhVIKNP4mDZtWpxwwgnx6KOPVraVSqX44x//GB/60IeyPBUwSqxfv74SIPfee2+cddZZce+991bCw/d8QO0Z9peM9fT0xPbt2yvPn3vuudi0aVNMmjQpTjzxxLj66qvjpptuihkzZsS0adPiuuuui9bW1li4cGGWcwOjyPr166OnpycWL14czz77bEyfPj3uueceKx5Qowrlcrk8nD9Ys2ZNzJs377DtS5YsibvvvjvK5XLccMMNcdddd8XLL78cf//3fx/f/va34+STTz6i1y+VSlEsFqOrq8v9HwAwSgzn+j3s+Kg28QEAo89wrt+5f9oFAKgt4gMASEp8AABJiQ8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AJLo6emJRYsWxemnnx6LFi2Knp6evEcCcjIh7wGAsW/u3LmxYcOGyvOnnnoqmpubY86cObF+/focJwPyYOUDqKpD4VEoFGLx4sXx5JNPxuLFi6NQKMSGDRti7ty5eY8IJFYol8vlvId4rVKpFMViMbq6uqKlpSXvcYCj0NPTE83NzVEoFKK3tzcmTpxY2bd///5obGyMcrkc3d3d0dTUlOOkwNEazvXbygdQNYsXL46IiPb29kHhERExceLEuOyyywYdB9QG8QFUzbPPPhsREddcc82Q+5ctWzboOKA2iA+gaqZPnx4REbfccsuQ+2+99dZBxwG1wT0fQNW45wNqh3s+gBGhqakp5syZE+VyORobG6O9vT06Ozujvb29Eh5z5swRHlBjrHwAVff67/k4xPd8wNgxnOu3LxkDqm79+vXR09MTixcvjmeffTamT58e99xzjxUPqFHiA0iiqakpVq1alfcYwAjgng8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AACSEh8AQFLiAwBISnwAAEmJDyCJnTt3RnNzc4wfPz6am5tj586deY8E5GRC3gMAY9873vGOePXVVyvPe3p64qSTTooJEybEgQMHcpwMyEPmKx8HDx6M6667LqZNmxYNDQ0xffr0+OpXvxrlcjnrUwGjwGvDY/LkyXHXXXfF5MmTIyLi1VdfjXe84x15jgfkIPOVj69//etxxx13xI9+9KM45ZRT4k9/+lNcccUVUSwW45//+Z+zPh0wgu3cubMSHn/961/juOOOi4iIK6+8Mvbu3Rvvete74tVXX42dO3fGiSeemOeoQEKZx8cf/vCHWLBgQXzsYx+LiIipU6fGT37yk1i/fv2Qx/f390d/f3/lealUynokICennHJKRPxtxeNQeBxy3HHHxaRJk+Kll16KU045Jbq7u/MYEchB5m+7nHPOOfHoo4/G1q1bIyLiySefjMceeyzmz58/5PEdHR1RLBYrj7a2tqxHAnLS29sbEX/73/lQvvKVrww6DqgNhXLGN2MMDAzEv/7rv8Y3vvGNGD9+fBw8eDC+9rWvxYoVK4Y8fqiVj7a2tujq6oqWlpYsRwMSa25ujp6enpg8eXLs3bv3sP2TJ0+Ol156KZqamqx8wChXKpWiWCwe0fU787ddfv7zn8e9994b9913X5xyyimxadOmuPrqq6O1tTWWLFly2PH19fVRX1+f9RjACPDnP/85TjrppPif//mf2Lt376C3Xvbu3RsvvfRS5TigdmS+8tHW1hbXXnttLF26tLLtpptuipUrV8aWLVve8u+HU07AyPfaT7tMmjQpvvKVr8T1119fCQ8ft4WxIdeVj97e3hg3bvCtJOPHj4+BgYGsTwWMAgcOHKgEyEsvvRRXXXVVZZ/wgNqU+Q2nF198cXzta1+LX/3qV7Fjx45YtWpV3HrrrbFo0aKsTwWMEgcOHIjnn38+mpqaYty4cdHU1BTPP/+88IAalfnbLt3d3XHdddfFqlWr4sUXX4zW1tb49Kc/Hddff33U1dW95d972wUARp/hXL8zj4+jJT4AYPQZzvXbD8sBAEmJDwAgKfEBACQlPgCApMQHAJCU+AAAkhIfAEBS4gMASEp8AABJiQ8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUuIDSOLhhx+OQqFQeTz88MN5jwTkZELeAwBjX6FQOGzb/PnzIyKiXC6nHgfImZUPoKpeHx6HouON9gNjn/gAqua1b6088cQTUS6X49e//nWUy+V44oknhjwOGPsK5RG25lkqlaJYLEZXV1e0tLTkPQ5wFF67qjHUv2reaj8wegzn+m3lA6i617/VcsiHP/zhxJMAI4GVD6BqrHxA7bDyAYwIDz30UOU/b9q0adC+1z5/7XHA2GflA6iq13+a5cMf/nD85je/GbRthP1rCHgbrHwAI8brw0J4AOIDqLpyuXzYWysPPfSQ8IAa5RtOgSQ++tGPig0gIqx8AACJiQ8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AACSEh8AQFLiAwBISnwAAEmJDwAgqarEx3//939He3t7TJ48ORoaGuK0006LP/3pT9U4FQAwykzI+gX/93//N84999yYN29ePPTQQ/Gud70rtm3bFu985zuzPhUAMAplHh9f//rXo62tLX74wx9Wtk2bNu0Nj+/v74/+/v7K81KplPVIwFHq7e2NLVu2HPXr9PX1xY4dO2Lq1KnR0NCQwWQRM2fOjMbGxkxeC0gj8/j45S9/GRdeeGF84hOfiN/97nfxd3/3d/GFL3whrrzyyiGP7+joiBtvvDHrMYAMbdmyJc4666y8xxjSxo0bY/bs2XmPAQxDoVwul7N8wYkTJ0ZExLJly+ITn/hEbNiwIb74xS/GnXfeGUuWLDns+KFWPtra2qKrqytaWlqyHA14m7Ja+di8eXO0t7fHypUrY9asWRlMZuUDRopSqRTFYvGIrt+Zr3wMDAzEBz7wgbj55psjIuLMM8+Mp59++g3jo76+Purr67MeA8hQY2NjpqsLs2bNsloBNSzzT7tMmTIl3ve+9w3aNmvWrNi5c2fWpwIARqHM4+Pcc8+NZ555ZtC2rVu3xkknnZT1qQCAUSjz+PiXf/mXePzxx+Pmm2+O7du3x3333Rd33XVXLF26NOtTAQCjUObxMWfOnFi1alX85Cc/iVNPPTW++tWvxm233RaXX3551qcCAEahzG84jYi46KKL4qKLLqrGSwMAo5zfdgEAkhIfAEBS4gMASEp8AABJiQ8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AACSEh8AQFLiAwBISnwAAEmJDwAgKfEBACQlPgCApMQHAJCU+AAAkhIfAEBS4gMASEp8AABJiQ8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AACSEh8AQFLiAwBISnwAAEmJDwAgqarHx3/8x39EoVCIq6++utqnAgBGgarGx4YNG+I73/lOnH766dU8DQAwilQtPnp6euLyyy+P7373u/HOd77zDY/r7++PUqk06AEAjF1Vi4+lS5fGxz72sbjgggve9LiOjo4oFouVR1tbW7VGAgBGgKrEx09/+tPo7OyMjo6Otzx2xYoV0dXVVXns2rWrGiMBACPEhKxfcNeuXfHFL34xHnnkkZg4ceJbHl9fXx/19fVZjwEAjFCZx8fGjRvjxRdfjNmzZ1e2HTx4MNauXRvf+ta3or+/P8aPH5/1aQGAUSLz+PjHf/zHeOqppwZtu+KKK2LmzJmxfPly4QEANS7z+Ghubo5TTz110LZjjjkmJk+efNh2AKD2+IZTACCpzFc+hrJmzZoUpwEARgErHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AACSEh8AQFLiAwBISnwAAEmJDwAgKfEBACQlPgCApMQHAJCU+AAAkhIfAEBS4gMASEp8AABJTch7AKB6tm3bFt3d3XmPUbF58+ZB/xxJmpubY8aMGXmPATVBfMAYtW3btjj55JPzHmNI7e3teY8wpK1btwoQSEB8wBh1aMVj5cqVMWvWrJyn+Zu+vr7YsWNHTJ06NRoaGvIep2Lz5s3R3t4+olaJYCwTHzDGzZo1K2bPnp33GBXnnntu3iMAOXPDKQCQlPgAAJISHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AACSEh8AQFLiAwBISnwAAEmJDwAgKfEBACQlPgCApMQHAJCU+AAAkhIfAEBS4gMASEp8AABJiQ8AIKnM46OjoyPmzJkTzc3N8e53vzsWLlwYzzzzTNanAQBGqczj43e/+10sXbo0Hn/88XjkkUfiwIED8ZGPfCT27duX9akAgFFoQtYv+PDDDw96fvfdd8e73/3u2LhxY/zDP/zDYcf39/dHf39/5XmpVMp6JKhJhVf3x5knjIuGl7dG7PYO65tpeHlrnHnCuCi8uj/vUaAmZB4fr9fV1RUREZMmTRpyf0dHR9x4443VHgNqzsSendH5+aaItZ+PWJv3NCPbrIjo/HxTbO7ZGRHn5D0OjHmFcrlcrtaLDwwMxMc//vF4+eWX47HHHhvymKFWPtra2qKrqytaWlqqNRqMeU+s/0N8dsF5ce+998asmTPzHmdE27xlS1x++eXx/Qd+H2fOFR/wdpRKpSgWi0d0/a7qysfSpUvj6aeffsPwiIior6+P+vr6ao4BNak8YWI8sWcg+o49OaL1/XmPM6L17RmIJ/YMRHnCxLxHgZpQtfi46qqr4sEHH4y1a9fGe97znmqdBgAYZTKPj3K5HP/0T/8Uq1atijVr1sS0adOyPgUAMIplHh9Lly6N++67Lx544IFobm6OPXv2REREsViMhoaGrE8HAIwymX/+7o477oiurq44//zzY8qUKZXHz372s6xPBQCMQlV52wUA4I345iEAICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AACSEh8AQFLiAwBISnwAAEmJDwAgKfEBACQlPgCApCbkPQBQHb29vRER0dnZmfMk/19fX1/s2LEjpk6dGg0NDXmPU7F58+a8R4CaIj5gjNqyZUtERFx55ZU5TzJ6NDc35z0C1ATxAWPUwoULIyJi5syZ0djYmO8w/8/mzZujvb09Vq5cGbNmzcp7nEGam5tjxowZeY8BNUF8wBh13HHHxec+97m8xxjSrFmzYvbs2XmPAeTEDacAQFLiAwBISnwAAEmJDwAgKfEBACQlPgCApMQHAJCU+AAAkhIfAEBS4gMASEp8AABJiQ8AICnxAQAkJT4AgKTEBwCQlPgAAJISHwBAUuIDAEhKfAAASYkPACAp8QEAJCU+AICkqhYft99+e0ydOjUmTpwYH/zgB2P9+vXVOhUAMIpUJT5+9rOfxbJly+KGG26Izs7OOOOMM+LCCy+MF198sRqnAwBGkQnVeNFbb701rrzyyrjiiisiIuLOO++MX/3qV/GDH/wgrr322kHH9vf3R39/f+V5qVSqxkjAUejt7Y0tW7Yc9ets3rx50D+zMHPmzGhsbMzs9YDqyzw+Xnnlldi4cWOsWLGism3cuHFxwQUXxLp16w47vqOjI2688casxwAytGXLljjrrLMye7329vbMXmvjxo0xe/bszF4PqL7M42Pv3r1x8ODBOP744wdtP/7444f8f04rVqyIZcuWVZ6XSqVoa2vLeizgKMycOTM2btx41K/T19cXO3bsiKlTp0ZDQ0MGk/1tNmB0qcrbLsNRX18f9fX1eY8BvInGxsbMVhfOPffcTF4HGL0yv+H0uOOOi/Hjx8cLL7wwaPsLL7wQJ5xwQtanAwBGmczjo66uLs4666x49NFHK9sGBgbi0UcfjQ996ENZnw4AGGWq8rbLsmXLYsmSJfGBD3wg5s6dG7fddlvs27ev8ukXAKB2VSU+PvWpT8Vf//rXuP7662PPnj3x/ve/Px5++OHDbkIFAGpPoVwul/Me4rVKpVIUi8Xo6uqKlpaWvMcBAI7AcK7fftsFAEhKfAAASYkPACAp8QEAJCU+AICkxAcAkJT4AACSEh8AQFK5/6rt6x36zrNSqZTzJADAkTp03T6S7y4dcfHR3d0dERFtbW05TwIADFd3d3cUi8U3PWbEfb36wMBA7N69O5qbm6NQKOQ9DpChUqkUbW1tsWvXLj+fAGNMuVyO7u7uaG1tjXHj3vyujhEXH8DY5bebgAg3nAIAiYkPACAp8QEkU19fHzfccEPU19fnPQqQI/d8AABJWfkAAJISHwBAUuIDAEhKfAAASYkPACAp8QFU3dq1a+Piiy+O1tbWKBQKsXr16rxHAnIkPoCq27dvX5xxxhlx++235z0KMAKMuF+1Bcae+fPnx/z58/MeAxghrHwAAEmJDwAgKfEBACQlPgCApMQHAJCUT7sAVdfT0xPbt2+vPH/uuedi06ZNMWnSpDjxxBNznAzIQ6FcLpfzHgIY29asWRPz5s07bPuSJUvi7rvvTj8QkCvxAQAk5Z4PACAp8QEAJCU+AICkxAcAkJT4AACSEh8AQFLiAwBISnwAAEmJDwAgKfEBACQlPgCApP4PJrttIlgAAZwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.boxplot(df_baby['age'])\n",
    "plt.title('年龄分布')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "edc65ce8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#剔除年龄异常的数据和性别未知的数据\n",
    "baby_df = df_baby.query(\"age<7 and gender !=2\").reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "d6d8b090",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>birthday</th>\n",
       "      <th>gender</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>2020957900</td>\n",
       "      <td>2022-04-30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>2080304899</td>\n",
       "      <td>2018-07-13</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>2114469016</td>\n",
       "      <td>2022-04-16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>2186831536</td>\n",
       "      <td>2022-05-19</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>879</th>\n",
       "      <td>2254611367</td>\n",
       "      <td>2019-10-31</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        user_id   birthday  gender  age\n",
       "875  2020957900 2022-04-30       0    0\n",
       "876  2080304899 2018-07-13       0    4\n",
       "877  2114469016 2022-04-16       0    0\n",
       "878  2186831536 2022-05-19       1    0\n",
       "879  2254611367 2019-10-31       0    3"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baby_df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd1f6a9f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "bd0915a0",
   "metadata": {},
   "source": [
    "### 我们从年、季度、月、天的角度来对购买量进行分析："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "9b96f118",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 根据年月查看销量趋势\n",
    "year_stats = df_trade.groupby(by='year')['buy_mount'].sum()\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.barplot(x=year_stats.index, y=year_stats.values)\n",
    "\n",
    "plt.title(\"Sales Volume By Year\")\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Sales Volumn\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "93deeaa3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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N7dq108qVKzVt2jS5u7urTZs25vrQ0FA5Oztr4sSJNscxa9YsJSQkKDw8PNNtBwQEyMnJSVu3brVpnzp16h3relCcO3dO27dvl5+fX7pp/Tt37qy1a9fqo48+UpEiRdSiRYt73l9Wf+738tqSpBo1aig0NNRcgoODJUn79+/X//73v3T9T548qcOHD5uvbR8fHzVq1Egff/yx+Y8LN7t5enUnJ6d0vy+LFi0y7+lK8/fff9s8dnZ2VnBwsAzD0PXr1+Xk5KRmzZppyZIl+v33381+8fHxmj9/vurXr59uanoAuB84swUAOahfv366cuWK2rVrp6CgICUnJ2v79u366quvVKpUKXXr1k2S1KxZMzk7O6tVq1Z6+eWXdenSJc2YMUM+Pj4ZfkC9WefOnbVw4UL17t1bmzZtUr169ZSSkqKjR49q4cKF5ncmjRw5Ulu3blV4eLgCAgJ09uxZTZ06VcWLF1f9+vWzdDwvvvii5s6dqzVr1qhTp07m2RtJKlq0qKKiojRixAg1b95crVu31rFjxzR16lTVqlXrthNCeHl56dlnn9WkSZPk4OCgxx57TMuXL3+gv/j566+/loeHhwzD0OnTpzVr1iydP39e06dPT3em6YUXXtDgwYP13XffqU+fPsqfP/897z+rP/d7eW3dzrp16zRs2DC1bt1aderUkYeHh3777Td9+umnSkpKsvnS5SlTpqh+/fqqXLmyevXqpdKlSys+Pl7R0dH6448/zO/RatmypUaOHKlu3bqpbt26OnDggObNm2dzplT65/fFz89P9erVk6+vr44cOaLJkycrPDxcBQsWlCS9++675vfKvfLKK8qXL58+/vhjJSUlacyYMXd93ABwT+w0CyIA5EmrVq0yunfvbgQFBRkeHh6Gs7OzUaZMGaNfv37ppsheunSp8fjjjxuurq5GqVKljPfff9/49NNPDUlGTEyM2e/Wqd8NwzCSk5ON999/36hYsaLh4uJiFCpUyKhRo4YxYsQIIyEhwTAMw9iwYYPRpk0bw9/f33B2djb8/f2Njh07Gr/88kuWj+fGjRtGsWLFDEnGypUrM+wzefJkIygoyMifP7/h6+tr9OnTxzh//rxNn1unfjcMw/jrr7+M9u3bGwUKFDAKFSpkvPzyy8bBgwcznPrd3d093X4bNmyY4XTgAQEBRnh4uPk4barv3bt32/TLbPr5W2U09bu7u7sREhJiLFy4MNPnPfXUU4YkY/v27bfdfkYyqzkrP3fDyPpr69axup3ffvvNGDp0qFGnTh3Dx8fHyJcvn1G0aFEjPDzc2LhxY7r+J06cMLp06WL4+fkZ+fPnNx599FGjZcuWxtdff232uXbtmvHvf//bKFasmOHm5mbUq1fPiI6OTvea//jjj40GDRoYRYoUMVxcXIzHHnvMGDRokM0xG4Zh/PTTT0ZYWJjh4eFhFChQwGjcuHG68b/X1wMAZIeDYXAnKAAAOa1du3Y6cOCAfv31V3uXAgCwE+7ZAgAgh505c0YrVqxQ586d7V0KAMCOuGcLAIAcEhMTo23btmnmzJnKnz+/Xn75ZXuXBACwI85sAQCQQ7Zs2aLOnTsrJiZGn332mfz8/OxdEgDAjrhnCwAAAAAswJktAAAAALAAYQsAAAAALGDXCTJSUlI0fPhwffHFF4qLi5O/v7+6du2qIUOGmF8QaRiGhg0bphkzZujChQuqV6+epk2bprJly5rbOXfunPr166dly5bJ0dFR7du314QJE+Th4WH2+fnnnxUZGandu3eraNGi6tevnwYPHpylOlNTU3X69GkVLFgw3RdXAgAAAHh4GIahixcvyt/fX46Odzh3Zc8v+Ro1apRRpEgRY/ny5UZMTIyxaNEiw8PDw5gwYYLZ57///a/h5eVlLF682Ni/f7/RunVrIzAw0Lh69arZp3nz5kaVKlWMHTt2GN9//71RpkwZo2PHjub6hIQEw9fX1+jUqZNx8OBB48svvzTc3NyMjz/+OEt1njp1Kt0XWrKwsLCwsLCwsLCwPLzLqVOn7pgj7DpBRsuWLeXr66tZs2aZbe3bt5ebm5u++OILGYYhf39//fvf/9brr78uSUpISJCvr6/mzJmjDh066MiRIwoODtbu3btVs2ZNSdLq1av11FNP6Y8//pC/v7+mTZumt956S3FxcXJ2dpYkvfnmm1q8eLGOHj2arq6kpCQlJSWZjxMSElSyZEmdOnVKnp6eVg4JAAAAgAdYYmKiSpQooQsXLsjLy+u2fe16GWHdunX1ySef6JdfflG5cuW0f/9+/fDDDxo3bpykf76vJC4uTqGhoeZzvLy8VLt2bUVHR6tDhw6Kjo6Wt7e3GbQkKTQ0VI6Ojtq5c6fatWun6OhoNWjQwAxakhQWFqb3339f58+fV6FChWzqGj16tEaMGJGuXk9PT8IWAAAAgCzdXmTXsPXmm28qMTFRQUFBcnJyUkpKikaNGqVOnTpJkuLi4iRJvr6+Ns/z9fU118XFxcnHx8dmfb58+VS4cGGbPoGBgem2kbbu1rAVFRWlgQMHmo/T0isAAAAAZJVdw9bChQs1b948zZ8/XxUrVtS+ffvUv39/+fv7KyIiwm51ubi4yMXFxW77BwAAAJD72TVsDRo0SG+++aY6dOggSapcubJOnjyp0aNHKyIiQn5+fpKk+Ph4FStWzHxefHy8qlatKkny8/PT2bNnbbZ748YNnTt3zny+n5+f4uPjbfqkPU7rAwAAAAA5ya7fs3XlypV00yU6OTkpNTVVkhQYGCg/Pz9t2LDBXJ+YmKidO3cqJCREkhQSEqILFy5oz549Zp+NGzcqNTVVtWvXNvts3bpV169fN/usW7dO5cuXT3cJIQAAAADkBLuGrVatWmnUqFFasWKFfv/9d3333XcaN26c2rVrJ+mfm8769++vd999V0uXLtWBAwfUpUsX+fv7q23btpKkChUqqHnz5urVq5d27dqlbdu2qW/fvurQoYP8/f0lSS+88IKcnZ3Vo0cPHTp0SF999ZUmTJhgc18WAAAAAOQku079fvHiRb399tv67rvvdPbsWfn7+6tjx44aOnSoOXOg8f+/1PiTTz7RhQsXVL9+fU2dOlXlypUzt3Pu3Dn17dvX5kuNJ06cmOmXGj/yyCPq16+f3njjjSzVmZiYKC8vLyUkJDAbIQAAAPAQy042sGvYyi0IWwAAAACk7GUDu15GCAAAAAB5FWELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAvnsXQAAAADwIDs6Nd7eJVgq6BVfe5eQZ3FmCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAnYNW6VKlZKDg0O6JTIyUpJ07do1RUZGqkiRIvLw8FD79u0VHx9vs43Y2FiFh4erQIEC8vHx0aBBg3Tjxg2bPps3b1b16tXl4uKiMmXKaM6cOffrEAEAAAA8pOwatnbv3q0zZ86Yy7p16yRJzz77rCRpwIABWrZsmRYtWqQtW7bo9OnTevrpp83np6SkKDw8XMnJydq+fbs+++wzzZkzR0OHDjX7xMTEKDw8XI0bN9a+ffvUv39/9ezZU2vWrLm/BwsAAADgoeJgGIZh7yLS9O/fX8uXL9fx48eVmJiookWLav78+XrmmWckSUePHlWFChUUHR2tOnXqaNWqVWrZsqVOnz4tX19fSdL06dP1xhtv6K+//pKzs7PeeOMNrVixQgcPHjT306FDB124cEGrV6/OUl2JiYny8vJSQkKCPD09c/7AAQAA8MA6OjX+zp1ysaBXfO1dQq6SnWzwwNyzlZycrC+++ELdu3eXg4OD9uzZo+vXrys0NNTsExQUpJIlSyo6OlqSFB0drcqVK5tBS5LCwsKUmJioQ4cOmX1u3kZan7RtZCQpKUmJiYk2CwAAAABkxwMTthYvXqwLFy6oa9eukqS4uDg5OzvL29vbpp+vr6/i4uLMPjcHrbT1aetu1ycxMVFXr17NsJbRo0fLy8vLXEqUKHGvhwcAAADgIfPAhK1Zs2apRYsW8vf3t3cpioqKUkJCgrmcOnXK3iUBAAAAyGXy2bsASTp58qTWr1+vb7/91mzz8/NTcnKyLly4YHN2Kz4+Xn5+fmafXbt22WwrbbbCm/vcOoNhfHy8PD095ebmlmE9Li4ucnFxuefjAgAAAPDweiDObM2ePVs+Pj4KDw8322rUqKH8+fNrw4YNZtuxY8cUGxurkJAQSVJISIgOHDigs2fPmn3WrVsnT09PBQcHm31u3kZan7RtAAAAAIAV7B62UlNTNXv2bEVERChfvv870ebl5aUePXpo4MCB2rRpk/bs2aNu3bopJCREderUkSQ1a9ZMwcHB6ty5s/bv3681a9ZoyJAhioyMNM9M9e7dW7/99psGDx6so0ePaurUqVq4cKEGDBhgl+MFAAAA8HCw+2WE69evV2xsrLp3755u3fjx4+Xo6Kj27dsrKSlJYWFhmjp1qrneyclJy5cvV58+fRQSEiJ3d3dFRERo5MiRZp/AwECtWLFCAwYM0IQJE1S8eHHNnDlTYWFh9+X4AAAAADycHqjv2XpQ8T1bAAAADy++Zws3y5XfswUAAAAAeQlhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAvnsXQAAAMD99Ow3B+1dgqUWta9k7xIA/H+c2QIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALGD3sPXnn3/qxRdfVJEiReTm5qbKlSvrxx9/NNcbhqGhQ4eqWLFicnNzU2hoqI4fP26zjXPnzqlTp07y9PSUt7e3evTooUuXLtn0+fnnn/XEE0/I1dVVJUqU0JgxY+7L8QEAAAB4ONk1bJ0/f1716tVT/vz5tWrVKh0+fFhjx45VoUKFzD5jxozRxIkTNX36dO3cuVPu7u4KCwvTtWvXzD6dOnXSoUOHtG7dOi1fvlxbt27VSy+9ZK5PTExUs2bNFBAQoD179uiDDz7Q8OHD9cknn9zX4wUAAADw8Mhnz52///77KlGihGbPnm22BQYGmv9vGIY++ugjDRkyRG3atJEkzZ07V76+vlq8eLE6dOigI0eOaPXq1dq9e7dq1qwpSZo0aZKeeuopffjhh/L399e8efOUnJysTz/9VM7OzqpYsaL27duncePG2YQyAAAAAMgpdj2ztXTpUtWsWVPPPvusfHx8VK1aNc2YMcNcHxMTo7i4OIWGhpptXl5eql27tqKjoyVJ0dHR8vb2NoOWJIWGhsrR0VE7d+40+zRo0EDOzs5mn7CwMB07dkznz59PV1dSUpISExNtFgAAAADIDruGrd9++03Tpk1T2bJltWbNGvXp00evvvqqPvvsM0lSXFycJMnX19fmeb6+vua6uLg4+fj42KzPly+fChcubNMno23cvI+bjR49Wl5eXuZSokSJHDhaAAAAAA8Tu4at1NRUVa9eXe+9956qVauml156Sb169dL06dPtWZaioqKUkJBgLqdOnbJrPQAAAAByH7uGrWLFiik4ONimrUKFCoqNjZUk+fn5SZLi4+Nt+sTHx5vr/Pz8dPbsWZv1N27c0Llz52z6ZLSNm/dxMxcXF3l6etosAAAAAJAddg1b9erV07Fjx2zafvnlFwUEBEj6Z7IMPz8/bdiwwVyfmJionTt3KiQkRJIUEhKiCxcuaM+ePWafjRs3KjU1VbVr1zb7bN26VdevXzf7rFu3TuXLl7eZ+RAAAAAAcopdw9aAAQO0Y8cOvffee/r11181f/58ffLJJ4qMjJQkOTg4qH///nr33Xe1dOlSHThwQF26dJG/v7/atm0r6Z8zYc2bN1evXr20a9cubdu2TX379lWHDh3k7+8vSXrhhRfk7OysHj166NChQ/rqq680YcIEDRw40F6HDgAAACCPs+vU77Vq1dJ3332nqKgojRw5UoGBgfroo4/UqVMns8/gwYN1+fJlvfTSS7pw4YLq16+v1atXy9XV1ewzb9489e3bV02aNJGjo6Pat2+viRMnmuu9vLy0du1aRUZGqkaNGnrkkUc0dOhQpn0HAAAAYBkHwzAMexfxoEtMTJSXl5cSEhK4fwsAgFzu2W8O2rsESy1qX8neJeQ5R6fG37lTLhb0iu+dO8GUnWxg18sIAQAAACCvImwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAF7Po9WwAAAHgwLPzmf/YuwVLPtX/E3iXgIcSZLQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsYNewNXz4cDk4ONgsQUFB5vpr164pMjJSRYoUkYeHh9q3b6/4+HibbcTGxio8PFwFChSQj4+PBg0apBs3btj02bx5s6pXry4XFxeVKVNGc+bMuR+HBwAAAOAhZvczWxUrVtSZM2fM5YcffjDXDRgwQMuWLdOiRYu0ZcsWnT59Wk8//bS5PiUlReHh4UpOTtb27dv12Wefac6cORo6dKjZJyYmRuHh4WrcuLH27dun/v37q2fPnlqzZs19PU4AAAAAD5d8di8gXz75+fmla09ISNCsWbM0f/58Pfnkk5Kk2bNnq0KFCtqxY4fq1KmjtWvX6vDhw1q/fr18fX1VtWpVvfPOO3rjjTc0fPhwOTs7a/r06QoMDNTYsWMlSRUqVNAPP/yg8ePHKyws7L4eKwAAAICHh93PbB0/flz+/v4qXbq0OnXqpNjYWEnSnj17dP36dYWGhpp9g4KCVLJkSUVHR0uSoqOjVblyZfn6+pp9wsLClJiYqEOHDpl9bt5GWp+0bWQkKSlJiYmJNgsAAAAAZIddw1bt2rU1Z84crV69WtOmTVNMTIyeeOIJXbx4UXFxcXJ2dpa3t7fNc3x9fRUXFydJiouLswlaaevT1t2uT2Jioq5evZphXaNHj5aXl5e5lChRIicOFwAAAMBDxK6XEbZo0cL8/8cff1y1a9dWQECAFi5cKDc3N7vVFRUVpYEDB5qPExMTCVwA8IAK/+Zje5dgqRXtX7Z3CQCAu5TtsHX58mX997//1YYNG3T27FmlpqbarP/tt9/uuhhvb2+VK1dOv/76q5o2bark5GRduHDB5uxWfHy8eY+Xn5+fdu3aZbONtNkKb+5z6wyG8fHx8vT0zDTQubi4yMXF5a6PAwAAAACyHbZ69uypLVu2qHPnzipWrJgcHBxyrJhLly7pxIkT6ty5s2rUqKH8+fNrw4YNat++vSTp2LFjio2NVUhIiCQpJCREo0aN0tmzZ+Xj4yNJWrdunTw9PRUcHGz2Wblypc1+1q1bZ24DAAAAAKyQ7bC1atUqrVixQvXq1bvnnb/++utq1aqVAgICdPr0aQ0bNkxOTk7q2LGjvLy81KNHDw0cOFCFCxeWp6en+vXrp5CQENWpU0eS1KxZMwUHB6tz584aM2aM4uLiNGTIEEVGRppnpnr37q3Jkydr8ODB6t69uzZu3KiFCxdqxYoV91w/AAAAAGQm22GrUKFCKly4cI7s/I8//lDHjh31999/q2jRoqpfv7527NihokWLSpLGjx8vR0dHtW/fXklJSQoLC9PUqVPN5zs5OWn58uXq06ePQkJC5O7uroiICI0cOdLsExgYqBUrVmjAgAGaMGGCihcvrpkzZzLtOwAAAABLZTtsvfPOOxo6dKg+++wzFShQ4J52vmDBgtuud3V11ZQpUzRlypRM+wQEBKS7TPBWjRo10t69e++qRgAAAAC4G9kOW2PHjtWJEyfk6+urUqVKKX/+/Dbrf/rppxwrDgAAAAByq2yHrbZt21pQBgAAAADkLdkOW8OGDbOiDgAAAADIU+7pS40vXbqU7nu2PD0976kgAAAAAMgLHLP7hJiYGIWHh8vd3V1eXl4qVKiQChUqJG9vbxUqVMiKGgEAAAAg18n2ma0XX3xRhmHo008/la+vb45+qTEAAAAA5BXZDlv79+/Xnj17VL58eSvqAQAAAIA8IduXEdaqVUunTp2yohYAAAAAyDOyfWZr5syZ6t27t/78809VqlQp3fdsPf744zlWHAAAAADkVtkOW3/99ZdOnDihbt26mW0ODg4yDEMODg5KSUnJ0QIBAAAAIDfKdtjq3r27qlWrpi+//JIJMgAAAAAgE9kOWydPntTSpUtVpkwZK+oBAAAAgDwh2xNkPPnkk9q/f78VtQAAAABAnpHtM1utWrXSgAEDdODAAVWuXDndBBmtW7fOseIAAAAAILfKdtjq3bu3JGnkyJHp1jFBBgAAAAD8I9thKzU11Yo6AAAAACBPyfY9WwAAAACAO8v2ma2MLh+82dChQ++6GAAAAADIK7Idtr777jubx9evX1dMTIzy5cunxx57jLAFAMADoPXXS+xdguWWPtPG3iUAwG1lO2zt3bs3XVtiYqK6du2qdu3a5UhRAAAAAJDb5cg9W56enhoxYoTefvvtnNgcAAAAAOR6OTZBRkJCghISEnJqcwAAAACQq2X7MsKJEyfaPDYMQ2fOnNHnn3+uFi1a5FhhAAAAAJCbZTtsjR8/3uaxo6OjihYtqoiICEVFReVYYQAAAACQm2U7bMXExFhRBwAAAADkKdkOWwCA+6/Fkt72LsFyq9pMt3cJAADkqCyFraeffjrLG/z222/vuhgAAAAAyCuyFLa8vLysrgMAAAAA8pQsha3Zs2dbXQcAAAAA5Cl3fc/WX3/9pWPHjkmSypcvr6JFi+ZYUQAAAACQ22X7S40vX76s7t27q1ixYmrQoIEaNGggf39/9ejRQ1euXLGiRgAAAADIdbIdtgYOHKgtW7Zo2bJlunDhgi5cuKAlS5Zoy5Yt+ve//21FjQAAAACQ62T7MsJvvvlGX3/9tRo1amS2PfXUU3Jzc9Nzzz2nadOm5WR9AAAAAJArZfvM1pUrV+Tr65uu3cfHh8sIAQAAAOD/y3bYCgkJ0bBhw3Tt2jWz7erVqxoxYoRCQkJytDgAAAAAyK2yfRnhRx99pObNm6t48eKqUqWKJGn//v1ydXXVmjVrcrxAAAAAAMiNshy2Jk+erBdffFGVK1fW8ePHNW/ePB09elSS1LFjR3Xq1Elubm6WFQrg4TB+fpi9S7DUgBf4RykAAB4WWb6M8K233pK/v79eeOEF7dixQ7169dLYsWM1duxY9ezZ856D1n//+185ODiof//+Ztu1a9cUGRmpIkWKyMPDQ+3bt1d8fLzN82JjYxUeHq4CBQrIx8dHgwYN0o0bN2z6bN68WdWrV5eLi4vKlCmjOXPm3FOtAAAAAHAnWQ5bcXFxmj59us6cOaOmTZsqMDBQ77zzjv744497LmL37t36+OOP9fjjj9u0DxgwQMuWLdOiRYu0ZcsWnT59Wk8//bS5PiUlReHh4UpOTtb27dv12Wefac6cORo6dKjZJyYmRuHh4WrcuLH27dun/v37q2fPnlzyCAAAAMBSWQ5bbm5u6tKlizZt2qTjx4+rc+fOmjVrlkqVKqXmzZtr0aJFun79erYLuHTpkjp16qQZM2aoUKFCZntCQoJmzZqlcePG6cknn1SNGjU0e/Zsbd++XTt27JAkrV27VocPH9YXX3yhqlWrqkWLFnrnnXc0ZcoUJScnS5KmT5+uwMBAjR07VhUqVFDfvn31zDPPaPz48dmuFQAAAACyKtuzEUpS6dKlNXLkSMXExGjVqlUqUqSIunbtqkcffTTb24qMjFR4eLhCQ0Nt2vfs2aPr16/btAcFBalkyZKKjo6WJEVHR6ty5co2U9GHhYUpMTFRhw4dMvvcuu2wsDBzGxlJSkpSYmKizQIAAAAA2ZHt2Qhv5uDgoHz58snBwUGGYWT7zNaCBQv0008/affu3enWxcXFydnZWd7e3jbtvr6+iouLM/vc+p1faY/v1CcxMVFXr17N8F6z0aNHa8SIEdk6FgAAAAC42V2d2Tp16pRGjhyp0qVLq2nTpjp9+rRmzJihM2fOZGsbr732mubNmydXV9e7KcMyUVFRSkhIMJdTp07ZuyQAAAAAuUyWz2wlJyfr22+/1aeffqqNGzeqWLFiioiIUPfu3VW6dOls73jPnj06e/asqlevbralpKRo69atmjx5stasWaPk5GRduHDB5uxWfHy8/Pz8JEl+fn7atWuXzXbTZiu8uc+tMxjGx8fL09Mz0xkUXVxc5OLiku1jAgAAAIA0WQ5bfn5+unLlilq2bKlly5YpLCxMjo53dWJMktSkSRMdOHDApq1bt24KCgrSG2+8oRIlSih//vzasGGD2rdvL0k6duyYYmNjFRISIkkKCQnRqFGjdPbsWfn4+EiS1q1bJ09PTwUHB5t9Vq5cabOfdevWmdsAAAAAACtkOWwNGTJEnTt3VtGiRXNkxwULFlSlSpVs2tzd3VWkSBGzvUePHho4cKAKFy4sT09P9evXTyEhIapTp44kqVmzZgoODlbnzp01ZswYxcXFaciQIYqMjDTPTPXu3VuTJ0/W4MGD1b17d23cuFELFy7UihUrcuQ4AAAAACAjWQ5bAwcOtLKODI0fP16Ojo5q3769kpKSFBYWpqlTp5rrnZyctHz5cvXp00chISFyd3dXRESERo4cafYJDAzUihUrNGDAAE2YMEHFixfXzJkzFRYWdt+PBwAAAMDD455mI8xpmzdvtnns6uqqKVOmaMqUKZk+JyAgIN1lgrdq1KiR9u7dmxMlAgAAAECW3P1NVwAAAACATBG2AAAAAMAC9xy2UlJStG/fPp0/fz4n6gEAAACAPCHbYat///6aNWuWpH+CVsOGDVW9enWVKFEi3T1XAAAAAPCwynbY+vrrr1WlShVJ0rJlyxQTE6OjR49qwIABeuutt3K8QAAAAADIjbIdtv73v//Jz89PkrRy5Uo9++yzKleunLp3757uS4oBAAAA4GGV7bDl6+urw4cPKyUlRatXr1bTpk0lSVeuXJGTk1OOFwgAAAAAuVG2v2erW7dueu6551SsWDE5ODgoNDRUkrRz504FBQXleIEAAAAAkBtlO2wNHz5clSpV0qlTp/Tss8/KxcVFkuTk5KQ333wzxwsEAAAAgNwo22FLkp555hlJ0rVr18y2iIiInKkIAAAAAPKAbIetlJQUvffee5o+fbri4+P1yy+/qHTp0nr77bdVqlQp9ejRw4o6kUudmNTG3iVY6rF+S+xdAgAAAB5Q2Z4gY9SoUZozZ47GjBkjZ2dns71SpUqaOXNmjhYHAAAAALlVtsPW3Llz9cknn6hTp042sw9WqVJFR48ezdHiAAAAACC3ynbY+vPPP1WmTJl07ampqbp+/XqOFAUAAAAAuV22w1ZwcLC+//77dO1ff/21qlWrliNFAQAAAEBul+0JMoYOHaqIiAj9+eefSk1N1bfffqtjx45p7ty5Wr58uRU1AgAAAECuk+0zW23atNGyZcu0fv16ubu7a+jQoTpy5IiWLVumpk2bWlEjAAAAAOQ6d/U9W0888YTWrVuX07UAAAAAQJ6R7TNbAAAAAIA7y9KZrUKFCsnBwSFLGzx37tw9FQQAAAAAeUGWwtZHH31kcRkAAAAAkLdkKWxFRERYXQcAAAAA5Cl3NUFGmmvXrik5OdmmzdPT854KAgAAAIC8INsTZFy+fFl9+/aVj4+P3N3dVahQIZsFAAAAAHAXYWvw4MHauHGjpk2bJhcXF82cOVMjRoyQv7+/5s6da0WNAAAAAJDrZPsywmXLlmnu3Llq1KiRunXrpieeeEJlypRRQECA5s2bp06dOllRJwAAAADkKtk+s3Xu3DmVLl1a0j/3Z6VN9V6/fn1t3bo1Z6sDAAAAgFwq22GrdOnSiomJkSQFBQVp4cKFkv454+Xt7Z2jxQEAAABAbpXtsNWtWzft379fkvTmm29qypQpcnV11YABAzRo0KAcLxAAAAAAcqNs37M1YMAA8/9DQ0N15MgR/fTTTypTpowef/zxHC0OAAAAAHKre/qeLUkqVaqUSpUqlQOlAAAAAEDekeXLCKOjo7V8+XKbtrlz5yowMFA+Pj566aWXlJSUlOMFAgAAAEBulOWwNXLkSB06dMh8fODAAfXo0UOhoaF68803tWzZMo0ePdqSIgEAAAAgt8ly2Nq3b5+aNGliPl6wYIFq166tGTNmaODAgZo4caI5MyEAAAAAPOyyHLbOnz8vX19f8/GWLVvUokUL83GtWrV06tSpnK0OAAAAAHKpLIctX19f8/u1kpOT9dNPP6lOnTrm+osXLyp//vw5XyEAAAAA5EJZDltPPfWU3nzzTX3//feKiopSgQIF9MQTT5jrf/75Zz322GPZ2vm0adP0+OOPy9PTU56engoJCdGqVavM9deuXVNkZKSKFCkiDw8PtW/fXvHx8TbbiI2NVXh4uAoUKCAfHx8NGjRIN27csOmzefNmVa9eXS4uLipTpozmzJmTrToBAAAAILuyHLbeeecd5cuXTw0bNtSMGTM0Y8YMOTs7m+s//fRTNWvWLFs7L168uP773/9qz549+vHHH/Xkk0+qTZs25kQcAwYM0LJly7Ro0SJt2bJFp0+f1tNPP20+PyUlReHh4UpOTtb27dv12Wefac6cORo6dKjZJyYmRuHh4WrcuLH27dun/v37q2fPnlqzZk22agUAAACA7Mjy92w98sgj2rp1qxISEuTh4SEnJyeb9YsWLZKHh0e2dt6qVSubx6NGjdK0adO0Y8cOFS9eXLNmzdL8+fP15JNPSpJmz56tChUqaMeOHapTp47Wrl2rw4cPa/369fL19VXVqlX1zjvv6I033tDw4cPl7Oys6dOnKzAwUGPHjpUkVahQQT/88IPGjx+vsLCwbNULAAAAAFmV5TNbaby8vNIFLUkqXLiwzZmu7EpJSdGCBQt0+fJlhYSEaM+ePbp+/bpCQ0PNPkFBQSpZsqSio6Ml/fPdX5UrV7aZuCMsLEyJiYnm2bHo6GibbaT1SdtGRpKSkpSYmGizAAAAAEB2ZDts5bQDBw7Iw8NDLi4u6t27t7777jsFBwcrLi5Ozs7O8vb2tunv6+uruLg4SVJcXJxN0Epbn7budn0SExN19erVDGsaPXq0vLy8zKVEiRI5cagAAAAAHiJ2D1vly5fXvn37tHPnTvXp00cRERE6fPiwXWuKiopSQkKCuTClPQAAAIDsyvI9W1ZxdnZWmTJlJEk1atTQ7t27NWHCBD3//PNKTk7WhQsXbM5uxcfHy8/PT5Lk5+enXbt22WwvbbbCm/vcOoNhfHy8PD095ebmlmFNLi4ucnFxyZHjAwAAAPBwsvuZrVulpqYqKSlJNWrUUP78+bVhwwZz3bFjxxQbG6uQkBBJUkhIiA4cOKCzZ8+afdatWydPT08FBwebfW7eRlqftG0AAAAAgBXsemYrKipKLVq0UMmSJXXx4kXNnz9fmzdv1po1a+Tl5aUePXpo4MCBKly4sDw9PdWvXz+FhISYX6bcrFkzBQcHq3PnzhozZozi4uI0ZMgQRUZGmmemevfurcmTJ2vw4MHq3r27Nm7cqIULF2rFihX2PHQAAAAAeZxdw9bZs2fVpUsXnTlzRl5eXnr88ce1Zs0aNW3aVJI0fvx4OTo6qn379kpKSlJYWJimTp1qPt/JyUnLly9Xnz59FBISInd3d0VERGjkyJFmn8DAQK1YsUIDBgzQhAkTVLx4cc2cOZNp3wEAAABYyq5ha9asWbdd7+rqqilTpmjKlCmZ9gkICNDKlStvu51GjRpp7969d1UjAAAAANyNB+6eLQAAAADICwhbAAAAAGABwhYAAAAAWICwBQAAAAAWsPuXGgMAAADIfeI/2mXvEizl2/9f97wNwhZgB8s/bWHvEizXsvsqe5cAAABgV1xGCAAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAG+ZysH/DXtC3uXYLmifV60dwkAAABArsKZLQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAAL2DVsjR49WrVq1VLBggXl4+Ojtm3b6tixYzZ9rl27psjISBUpUkQeHh5q37694uPjbfrExsYqPDxcBQoUkI+PjwYNGqQbN27Y9Nm8ebOqV68uFxcXlSlTRnPmzLH68AAAAAA8xOwatrZs2aLIyEjt2LFD69at0/Xr19WsWTNdvnzZ7DNgwAAtW7ZMixYt0pYtW3T69Gk9/fTT5vqUlBSFh4crOTlZ27dv12effaY5c+Zo6NChZp+YmBiFh4ercePG2rdvn/r376+ePXtqzZo19/V4AQAAADw88tlz56tXr7Z5PGfOHPn4+GjPnj1q0KCBEhISNGvWLM2fP19PPvmkJGn27NmqUKGCduzYoTp16mjt2rU6fPiw1q9fL19fX1WtWlXvvPOO3njjDQ0fPlzOzs6aPn26AgMDNXbsWElShQoV9MMPP2j8+PEKCwu778cNAAAAIO97oO7ZSkhIkCQVLlxYkrRnzx5dv35doaGhZp+goCCVLFlS0dHRkqTo6GhVrlxZvr6+Zp+wsDAlJibq0KFDZp+bt5HWJ20bt0pKSlJiYqLNAgAAAADZ8cCErdTUVPXv31/16tVTpUqVJElxcXFydnaWt7e3TV9fX1/FxcWZfW4OWmnr09bdrk9iYqKuXr2arpbRo0fLy8vLXEqUKJEjxwgAAADg4fHAhK3IyEgdPHhQCxYssHcpioqKUkJCgrmcOnXK3iUBAAAAyGXses9Wmr59+2r58uXaunWrihcvbrb7+fkpOTlZFy5csDm7FR8fLz8/P7PPrl27bLaXNlvhzX1uncEwPj5enp6ecnNzS1ePi4uLXFxccuTYAAAAADyc7HpmyzAM9e3bV9999502btyowMBAm/U1atRQ/vz5tWHDBrPt2LFjio2NVUhIiCQpJCREBw4c0NmzZ80+69atk6enp4KDg80+N28jrU/aNgAAAAAgp9n1zFZkZKTmz5+vJUuWqGDBguY9Vl5eXnJzc5OXl5d69OihgQMHqnDhwvL09FS/fv0UEhKiOnXqSJKaNWum4OBgde7cWWPGjFFcXJyGDBmiyMhI8+xU7969NXnyZA0ePFjdu3fXxo0btXDhQq1YscJuxw4AAAAgb7Prma1p06YpISFBjRo1UrFixczlq6++MvuMHz9eLVu2VPv27dWgQQP5+fnp22+/Ndc7OTlp+fLlcnJyUkhIiF588UV16dJFI0eONPsEBgZqxYoVWrdunapUqaKxY8dq5syZTPsOAAAAwDJ2PbNlGMYd+7i6umrKlCmaMmVKpn0CAgK0cuXK226nUaNG2rt3b7ZrBAAAAIC78cDMRggAAAAAeQlhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsIBdw9bWrVvVqlUr+fv7y8HBQYsXL7ZZbxiGhg4dqmLFisnNzU2hoaE6fvy4TZ9z586pU6dO8vT0lLe3t3r06KFLly7Z9Pn555/1xBNPyNXVVSVKlNCYMWOsPjQAAAAADzm7hq3Lly+rSpUqmjJlSobrx4wZo4kTJ2r69OnauXOn3N3dFRYWpmvXrpl9OnXqpEOHDmndunVavny5tm7dqpdeeslcn5iYqGbNmikgIEB79uzRBx98oOHDh+uTTz6x/PgAAAAAPLzy2XPnLVq0UIsWLTJcZxiGPvroIw0ZMkRt2rSRJM2dO1e+vr5avHixOnTooCNHjmj16tXavXu3atasKUmaNGmSnnrqKX344Yfy9/fXvHnzlJycrE8//VTOzs6qWLGi9u3bp3HjxtmEMgAAAADISQ/sPVsxMTGKi4tTaGio2ebl5aXatWsrOjpakhQdHS1vb28zaElSaGioHB0dtXPnTrNPgwYN5OzsbPYJCwvTsWPHdP78+Qz3nZSUpMTERJsFAAAAALLjgQ1bcXFxkiRfX1+bdl9fX3NdXFycfHx8bNbny5dPhQsXtumT0TZu3setRo8eLS8vL3MpUaLEvR8QAAAAgIfKAxu27CkqKkoJCQnmcurUKXuXBAAAACCXeWDDlp+fnyQpPj7epj0+Pt5c5+fnp7Nnz9qsv3Hjhs6dO2fTJ6Nt3LyPW7m4uMjT09NmAQAAAIDseGDDVmBgoPz8/LRhwwazLTExUTt37lRISIgkKSQkRBcuXNCePXvMPhs3blRqaqpq165t9tm6dauuX79u9lm3bp3Kly+vQoUK3aejAQAAAPCwsWvYunTpkvbt26d9+/ZJ+mdSjH379ik2NlYODg7q37+/3n33XS1dulQHDhxQly5d5O/vr7Zt20qSKlSooObNm6tXr17atWuXtm3bpr59+6pDhw7y9/eXJL3wwgtydnZWjx49dOjQIX311VeaMGGCBg4caKejBgAAAPAwsOvU7z/++KMaN25sPk4LQBEREZozZ44GDx6sy5cv66WXXtKFCxdUv359rV69Wq6uruZz5s2bp759+6pJkyZydHRU+/btNXHiRHO9l5eX1q5dq8jISNWoUUOPPPKIhg4dyrTvAAAAACxl17DVqFEjGYaR6XoHBweNHDlSI0eOzLRP4cKFNX/+/Nvu5/HHH9f3339/13UCAAAAQHY9sPdsAQAAAEBuRtgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAs8FCFrSlTpqhUqVJydXVV7dq1tWvXLnuXBAAAACCPemjC1ldffaWBAwdq2LBh+umnn1SlShWFhYXp7Nmz9i4NAAAAQB700IStcePGqVevXurWrZuCg4M1ffp0FShQQJ9++qm9SwMAAACQB+WzdwH3Q3Jysvbs2aOoqCizzdHRUaGhoYqOjk7XPykpSUlJSebjhIQESVJiYmKG27949WoOV/zgccnk2O/k4tXrOVzJgyWz18SdXLl6I4crefDc7dhcu5K3x+Zux+XGleQcruTBc7djc/1K3n4PvvtxuZLDlTx47n5sLuVwJQ+Wu/7bdOViDlfyYElMdL7r5166mtfHxu2unnfxWt7+XXLL5Hcp7XfMMIw7bsPByEqvXO706dN69NFHtX37doWEhJjtgwcP1pYtW7Rz506b/sOHD9eIESPud5kAAAAAcolTp06pePHit+3zUJzZyq6oqCgNHDjQfJyamqpz586pSJEicnBwsGNl/0hMTFSJEiV06tQpeXp62rucBwbjkjnGJmOMS8YYl8wxNhljXDLH2GSMcckcY5OxB2lcDMPQxYsX5e/vf8e+D0XYeuSRR+Tk5KT4+Hib9vj4ePn5+aXr7+LiIhcXF5s2b29vK0u8K56ennZ/sT2IGJfMMTYZY1wyxrhkjrHJGOOSOcYmY4xL5hibjD0o4+Ll5ZWlfg/FBBnOzs6qUaOGNmzYYLalpqZqw4YNNpcVAgAAAEBOeSjObEnSwIEDFRERoZo1a+pf//qXPvroI12+fFndunWzd2kAAAAA8qCHJmw9//zz+uuvvzR06FDFxcWpatWqWr16tXx9fe1dWra5uLho2LBh6S51fNgxLpljbDLGuGSMcckcY5MxxiVzjE3GGJfMMTYZy63j8lDMRggAAAAA99tDcc8WAAAAANxvhC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoStHDB69GjVqlVLBQsWlI+Pj9q2batjx47Z9Ll27ZoiIyNVpEgReXh4qH379oqPjzfX79+/Xx07dlSJEiXk5uamChUqaMKECen2tXnzZlWvXl0uLi4qU6aM5syZk2FN3bp105AhQ8zHy5cvV8OGDVWwYEEVKFBAtWrVSvfcv//+W82bN5e/v79cXFxUokQJ9e3bV4mJiQ/1uNzs77//VvHixeXg4KALFy5kazxudr/G5syZM3rhhRdUrlw5OTo6qn///pnWNGLECL344ovm4+3bt+upp55SoUKF5OrqqsqVK2vcuHFKSUmxed6oUaNUt25dFShQQN7e3nc9JlLeGZfff/9dPXr0UGBgoNzc3PTYY49p2LBhSk5OfujHRpJat26tkiVLytXVVcWKFVPnzp11+vTph35c0iQlJalq1apycHDQvn37sj8o/9/9Gptvv/1WTZs2VdGiReXp6amQkBCtWbMmw5ru9j341VdfVY0aNeTi4qKqVave9ZhIeWdcsvr38WEcm9z6eeZ+/C6lyYnPM/drXH744QfVq1dPRYoUkZubm4KCgjR+/PgMa3oQ3mPSMXDPwsLCjNmzZxsHDx409u3bZzz11FNGyZIljUuXLpl9evfubZQoUcLYsGGD8eOPPxp16tQx6tata66fNWuW8eqrrxqbN282Tpw4YXz++eeGm5ubMWnSJLPPb7/9ZhQoUMAYOHCgcfjwYWPSpEmGk5OTsXr1apt6bty4YTzyyCPGzp07DcMwjIkTJxqOjo5GVFSUcejQIeP48ePGhx9+aLi4uBj//ve/zeedO3fOmDp1qrF7927j999/N9avX2+UL1/e6Nix40M9Ljdr06aN0aJFC0OScf78+bsal/s5NjExMcarr75qfPbZZ0bVqlWN1157LdOaqlWrZnz11VeGYRjGt99+a+TLl8/o1auXsXfvXiMmJsaYMWOGUahQIeOZZ54xUlNTzecNHTrUGDdunDFw4EDDy8vrrsckL43LqlWrjK5duxpr1qwxTpw4YSxZssTw8fHJ9HX1MI2NYRjGuHHjjOjoaOP33383tm3bZoSEhBghISEP/bikefXVV833mb17997VuNzPsXnttdeM999/39i1a5fxyy+/GFFRUUb+/PmNn376yaaee3kP7tevnzF58mSjc+fORpUqVe56TPLSuGSlhod1bHLr55n78buUJic+z9yvcfnpp5+M+fPnGwcPHjRiYmKMzz//3ChQoIDx8ccf59i45OR7zK0IWxY4e/asIcnYsmWLYRiGceHCBSN//vzGokWLzD5HjhwxJBnR0dGZbueVV14xGjdubD4ePHiwUbFiRZs+zz//vBEWFmbTtnXrVqNYsWJGamqqERsba+TPn98YOHBguu1PnDjRkGTs2LEj0xomTJhgFC9e/PYHnEW5fVymTp1qNGzY0NiwYcM9h61bWTU2N2vYsGGmHxBjY2MNZ2dnIyEhwbh06ZJRpEgR4+mnn07Xb+nSpYYkY8GCBenWzZ49+57D1q3ywrikGTNmjBEYGJjp+uzKS2OzZMkSw8HBwUhOTs60T1bl9nFZuXKlERQUZBw6dOiew9at7sfYpAkODjZGjBhh05YTf5uGDRuW4x+E8sK4ZKeG7MhLY5MbPs9kxIpxserzzP0cl3bt2hkvvviiTduD+h7DZYQWSEhIkCQVLlxYkrRnzx5dv35doaGhZp+goCCVLFlS0dHRt91O2jYkKTo62mYbkhQWFpZuG0uXLlWrVq3k4OCgr7/+WtevX9frr7+ebvsvv/yyPDw89OWXX2a4/9OnT+vbb79Vw4YN73DEWZObx+Xw4cMaOXKk5s6dK0fHnP+1sWpssmrp0qVq1KiRPD09tXbtWv39998Zjk2rVq1Urly5TF8zOS0vjcvd1nC77Um5f2zOnTunefPmqW7dusqfP3+267hVbh6X+Ph49erVS59//rkKFCiQ7X3fyf0am9TUVF28eDFdn5z625TT8tK45Nb3GavHJrd8nrmVFeNi5eeZ+zUue/fu1fbt29P9PB/U9xjCVg5LTU1V//79Va9ePVWqVEmSFBcXJ2dn53T3s/j6+iouLi7D7Wzfvl1fffWVXnrpJbMtLi5Ovr6+6baRmJioq1evmm1LlixR69atJUm//PKLvLy8VKxYsXT7cHZ2VunSpfXLL7/YtHfs2FEFChTQo48+Kk9PT82cOTPrA5CJ3DwuSUlJ6tixoz744AOVLFky+wd/B1aOTVbdOjaSVKFChQz7BgUFpXvNWCEvjcuvv/6qSZMm6eWXX852DRnJC2PzxhtvyN3dXUWKFFFsbKyWLFmS7RpulZvHxTAMde3aVb1791bNmjWzvd87uZ9j8+GHH+rSpUt67rnnbNrv9W+TFfLSuNzL6zYjeWFsctvnmVvl9LhY+XnmfoxL8eLF5eLiopo1ayoyMlI9e/a0Wf8gvsdIhK0cFxkZqYMHD2rBggV3vY2DBw+qTZs2GjZsmJo1a5at5x45ckSnT59WkyZNsvwcZ2dnm8fjx4/XTz/9pCVLlujEiRMaOHBgtmrISG4el6ioKFWoUMHmhvecZO+xSUxM1JYtW8w3qDSGYWT6nFtfM1bIK+Py559/qnnz5nr22WfVq1evbNWQmbwwNoMGDdLevXu1du1aOTk5qUuXLrd9flbk5nGZNGmSLl68qKioqOwXnQX3a2zmz5+vESNGaOHChfLx8THbc+JvkxXyyrjcy+s2M3lhbHLz5xkrxsXKzzP3Y1y+//57/fjjj5o+fbo++ugjmzNTD+p7jETYylF9+/bV8uXLtWnTJhUvXtxs9/PzU3JycrrZXuLj4+Xn52fTdvjwYTVp0kQvvfSSzWwqadu5eQaXtG14enrKzc1N0j+nUJs2bSpXV1dJUtmyZZWQkJDhTF/Jyck6ceKEypUrl24/QUFBat26tT7++GNNmzZNZ86cyd5g3CS3j8vGjRu1aNEi5cuXT/ny5TN/kR955BENGzbsLkbk/1g9NlmxatUqBQcHq0SJEpL+GRvpnzeujBw5ciTdayan5ZVxOX36tBo3bqy6devqk08+yXYNGckrY/PII4+oXLlyatq0qRYsWKCVK1dqx44d2a4lTW4fl40bNyo6OlouLi7Kly+fypQpI0mqWbOmIiIisl3Lze7X2CxYsEA9e/bUwoUL013anRN/m3JaXhmXe33dZiSvjE1u+zyTxqpxserzzP0al8DAQFWuXFm9evXSgAEDNHz4cHPdg/geY8rRO8AeUqmpqUZkZKTh7+9v/PLLL+nWp90g+PXXX5ttR48eTXeD4MGDBw0fHx9j0KBBGe5n8ODBRqVKlWzaOnbsaDMRREhIiDF79mzz8cmTJ418+fJleIPghAkTDAcHB+PAgQOZHtuWLVsMSUZMTEymfTKTV8bl119/NQ4cOGAun376qSHJ2L59uxEfH5+1wbjF/Rqbm2V2U3/Hjh2NYcOGmY8vXbpkFC5cOMOb+pcsWWJIMlasWJFuXU5MkJGXxuWPP/4wypYta3To0MG4cePGHeu4k7w0Nrc6efKkIcnYtGnTHWu6VV4Zl5MnT9q8z6xZs8aQZHz99dfGqVOn7lhTRu7n2MyfP99wdXU1Fi9enOH6nPrblBM3r+elccnO6zYr8tLY3Co3fJ4xDGvHJac/z9jj/TfNiBEjjICAAPPxg/QecyvCVg7o06eP4eXlZWzevNk4c+aMuVy5csXs07t3b6NkyZLGxo0bjR9//DHdVMcHDhwwihYtarz44os22zh79qzZJ22K80GDBhlHjhwxpkyZYjPFeXx8vJE/f37jr7/+sqlv3LhxhqOjo/Gf//zHOHLkiPHrr78aY8eONVxcXIxRo0aZ/VasWGF8+umnxoEDB4yYmBhj+fLlRoUKFYx69eo91ONyq02bNt3z7D33a2wMwzD27t1r7N2716hRo4bxwgsvGHv37jUOHTpkGIZhXL9+3fD29jb27Nlj85xFixYZTk5ORq9evYz9+/cbMTExxsyZM41ChQoZvXr1sul78uRJY+/evcaIESMMDw8Pc38XL158aMfljz/+MMqUKWM0adLE+OOPP2zquFt5ZWx27NhhTJo0ydi7d6/x+++/Gxs2bDDq1q1rPPbYY8a1a9ce2nG5VUxMzD3PRni/xmbevHlGvnz5jClTptj0uXDhgmEYOfMefPz4cWPv3r3Gyy+/bJQrV878WSQlJT2045LV1+3DODa59fPM/fhdutm9fp65X+MyefJkY+nSpcYvv/xi/PLLL8bMmTONggULGm+99VaOjUtOvsfcirCVAyRluNycsK9evWq88sorRqFChYwCBQoY7dq1s/ngNWzYsAy3cXNqN4x/fjGqVq1qODs7G6VLl7bZx8yZMzN9I1m8eLHxxBNPGO7u7ua2v/zyS5s+GzduNEJCQgwvLy/D1dXVKFu2rPHGG2/c9S9hXhmXW+VE2LqfY3O7PuvXr890KtytW7caYWFhhqenp/m8999/P12/iIiIDPdxN2cp8sq4zJ49O9NjuVt5ZWx+/vlno3HjxkbhwoUNFxcXo1SpUkbv3r2NP/7446Eel1vlRNi6X2PTsGHDDPtEREQYhpEz78GZ7eNuzlLklXHJ6uv2YRyb3Pp55n78Lt3sXj/P3K9xmThxolGxYkWjQIEChqenp1GtWjVj6tSpRkpKSo6NS06+x9zK4f8PFvKA1q1bq379+ho8ePBt+507d05NmjSRp6enVq1aZckUww8SxiVzr776qm7cuKGpU6fett+1a9fUpk0bnTp1Slu2bFHRokXvU4X2wbhkjrHJGOOSOd6DM8a4ZI6xyRjjkrEHfVyYICMPqV+/vjp27HjHfoULF9b69evVpEmT237PQV7BuGSuUqVK6tOnzx37ubq6asmSJerSpYu2bt16HyqzL8Ylc4xNxhiXzPEenDHGJXOMTcYYl4w96OPCmS0AAAAAsABntgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQCA3fz999/y8fHR77//bu9S8pzDhw+rePHiunz5sr1LAYCHFmELAGA3o0aNUps2bXTy5Enlz59fP/zwg836y5cvq3Tp0nr99dfvW00pKSn673//q6CgILm5ualw4cKqXbu2Zs6ced9qyAnBwcGqU6eOxo0bZ+9SAOChxfdsAQDs4sqVKypWrJjWrFmjOnXqaODAgVq6dKn2798vd3d3SVJkZKQ2b96sPXv2yNXVNUf3n5ycLGdn53TtQ4cO1ccff6zJkyerZs2aSkxM1I8//qjz58/f19CXE1asWKFevXopNjZW+fLls3c5APDQ4cwWAMAuVq5cKRcXF9WpU0eS9N5778nZ2VlvvPGGJGnTpk2aOXOm5s6dK2dnZ40ePVqBgYFyc3NTlSpV9PXXX5vbSklJUY8ePcz15cuX14QJE2z217VrV7Vt21ajRo2Sv7+/ypcvn2FdS5cu1SuvvKJnn31WgYGBqlKlinr06GETtFJTU++5ns2bN+tf//qX3N3d5e3trXr16unkyZPm+mnTpumxxx6Ts7Ozypcvr88//9zm+Q4ODpo5c6batWunAgUKqGzZslq6dKlNn6ZNm+rcuXPasmXLHX8eAICcxz9zAQDs4vvvv1eNGjXMx66urpo7d67q1q2rpk2bqn///vrPf/6jGjVqaNSoUfriiy80ffp0lS1bVlu3btWLL76ookWLqmHDhkpNTVXx4sW1aNEiFSlSRNu3b9dLL72kYsWK6bnnnjP3sWHDBnl6emrdunWZ1uXn56eNGzfqlVdeUdGiRTPsM3r06Huq58aNG2rbtq169eqlL7/8UsnJydq1a5ccHBwkSd99951ee+01ffTRRwoNDdXy5cvVrVs3FS9eXI0bNzbrGDFihMaMGaMPPvhAkyZNUqdOnXTy5EkVLlxYkuTs7KyqVavq+++/V5MmTe7p5wUAyD4uIwQA2EXbtm1VpEgRzZo1y6Z92LBhevfdd1WtWjXt2LFDKSkpKly4sNavX6+QkBCzX8+ePXXlyhXNnz8/w+337dtXcXFx5hmnrl27avXq1YqNjc3w8sE0hw8f1jPPPKNjx46pYsWKqlu3rtq0aaMWLVpIkpKSku65nnPnzqlIkSLavHmzGjZsmK5vvXr1VLFiRX3yySdm23PPPafLly9rxYoVkv45szVkyBC98847kv65v83Dw0OrVq1S8+bNzec9/fTT8vLy0uzZszM9ZgCANbiMEABgF1evXs3wPqy3335bqampevPNN5UvXz79+uuvunLlipo2bSoPDw9zmTt3rk6cOGE+b8qUKapRo4aKFi0qDw8PffLJJ4qNjbXZduXKlW8btKR/JpY4ePCgduzYoe7du+vs2bNq1aqVevbsKUk5Uk/hwoXVtWtXhYWFqVWrVpowYYLOnDljPvfIkSOqV6+eTV316tXTkSNHbNoef/xx8//d3d3l6emps2fP2vRxc3PTlStXbnvMAABrcBkhAMAuHnnkEZ0/fz5de9pEDmn/vXTpkqR/Jnt49NFHbfq6uLhIkhYsWKDXX39dY8eOVUhIiAoWLKgPPvhAO3futOmfNvHGnTg6OqpWrVqqVauW+vfvry+++EKdO3fWW2+9lWP1zJ49W6+++qpWr16tr776SkOGDNG6devMe9iyIn/+/DaPHRwclJqaatN27tw5PfbYY1neJgAg5xC2AAB2Ua1aNX3xxRd37BccHCwXFxfFxsZmeMmdJG3btk1169bVK6+8YrbdfJbpXgUHB0v651K9nKynWrVqqlatmqKiohQSEqL58+erTp06qlChgrZt26aIiAibbabVkR0HDx7UM888k+3nAQDuHWELAGAXYWFhioqK0vnz51WoUKFM+xUsWFCvv/66BgwYoNTUVNWvX18JCQnatm2bPD09FRERobJly2ru3Llas2aNAgMD9fnnn2v37t0KDAzMdl3PPPOM6tWrp7p168rPz08xMTGKiopSuXLlFBQUpHz58t1zPTExMfrkk0/UunVr+fv769ixYzp+/Li6dOkiSRo0aJCee+45VatWTaGhoVq2bJm+/fZbrV+/PlvH8vvvv+vPP/9UaGhotscBAHDvuGcLAGAXlStXVvXq1bVw4cI79n3nnXf09ttva/To0apQoYKaN2+uFStWmOHl5Zdf1tNPP63nn39etWvX1t9//21zVul2hg8frlKlSpmPw8LCtGzZMrVq1UrlypVTRESEgoKCtHbtWvPSxnutp0CBAjp69Kjat2+vcuXK6aWXXlJkZKRefvllSf9MHjJhwgR9+OGHqlixoj7++GPNnj1bjRo1ytIxpfnyyy/VrFkzBQQEZOt5AICcwWyEAAC7WbFihQYNGqSDBw/K0dE+//4XEREhBwcHzZkzxy77t0pycrLKli2r+fPnp5tsAwBwf3AZIQDAbsLDw3X8+HH9+eefKlGixH3fv2EY2rx5s3744Yf7vm+rxcbG6j//+Q9BCwDsiDNbAAAAAGAB7tkCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAAC/w/CYJa9xzlrl0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 各年季度销量情况\n",
    "year_quarter_stats = df_trade.groupby(by=['year', 'quarter'])['buy_mount'].sum()\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "# year_quarter_stats.index：\n",
    "# MultiIndex([(2012,  7),\n",
    "#             (2012,  8),\n",
    "#             ...\n",
    "#            (2015,  1),\n",
    "#            (2015,  2)])\n",
    "x_list = [str(idx[0]) + \"/Q\" + str(idx[1]) for idx in year_quarter_stats.index]\n",
    "y_list = [int(value) for value in year_quarter_stats.values]\n",
    "sns.barplot(x=x_list, y=y_list)\n",
    "plt.title(\"Sales Volumn By Year-Season\")\n",
    "plt.xlabel(\"(Year,Season)\")\n",
    "plt.ylabel(\"Sales Volumn\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "5fe75403",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 根据年月分组\n",
    "year_month_stats = df_trade.groupby(by=['year', 'month'])['buy_mount'].sum()\n",
    "\n",
    "plt.figure(figsize=(30, 5))\n",
    "x_list = [str(idx[0]) + \"/\" + str(idx[1]) for idx in year_month_stats.index]\n",
    "y_list = [int(value) for value in year_month_stats.values]\n",
    "sns.barplot(x=x_list, y=y_list)\n",
    "\n",
    "plt.title(\"Sales Volumn By Year-Month\")\n",
    "plt.xlabel(\"(Year,Month)\")\n",
    "plt.ylabel(\"Sales Volumn\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "9c0d5f13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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oPDxcW7ZskaR6vTf4u/kEb9wbMIBVS7Ro0UItWrSwu4xa53K5HT58WElJSc6zxNT1qdF/40rXWvUZdzgr0QWXym3x4sV64YUXnL8fOXJEAwYM0Lp16xQbG+vpEr3Ola61goIC+fr68hj4/y6V280336yAgAAdPHhQPXr0kCRVVFSoqKhIUVFRdpTpVf5urRljlJWVpdTUVL57/H9cKrczZ85I+uunLXx9fZ3PC/XZPz2uVW/Mly9froYNG6pfv36eKs1ruPqaNj4+XnPmzNFvv/3m/Pvs7GwFBwdf9IZyXcVe4N+rSWb79u1Tnz59lJaWpjlz5ri5Mu/mzrVWX/YLrmb23nvvXXRGmPz8fI0ZM0Zffvml2rVr584SvZI711pBQYFCQkLq9PCV5HpmiYmJkqSDBw86v277xIkTOn78eL3YK9R0rZWVlWn9+vWaO3euG6vybq5mdubMGfn6+srHx8d5WfXv9WGvUNO15uPjo2uuuUaStGbNGkVGRqp79+7uKs8ruXrcNj4+Xk899ZQqKiqc+/js7Gy1b99eISEhHqndThzv/vdqktnWrVuVnJysefPm1buvJXfnWqs+I2dVVVWdHsByNbO8vDw5HA7n75s2bdK8efP09ddfq1WrVpbXbTd3rrWCgoI6/QGgaq5mlpiYqMrKSv3yyy/OfedPP/0kSfV6b3Cla62wsFC5ubn16msuXc2sem/w36of/+vz3uBK15qfn5/z8X/NmjWKj49XeHi4pTXbzdX5BG/cGzCA5SFlZWX6+eefnb8XFhaqoKBAoaGhat26tU6cOKHi4mIdOXJEkpyneqz+BPHlFBcXO//W4XCooKBAknT99dfXia8nsSK3w4cPq3fv3oqKitKLL76oY8eOOa+rC5+SsiKznTt3Kj8/Xz169FBISIh++eUXzZo1S+3ataszZ7+yIrfWrVtf9Hv1fbJdu3bOA9+1mRWZ5eXlaefOnUpKSlKTJk2Ul5eniRMnauTIkXXmIJoVuQUHBys9PV2zZ89WZGSkoqKinKdaHjZsmMUdWc+q51DpwifMCgsL9dBDD1nXgE2syC0+Pl4hISFKS0vT008/rUaNGunNN99UYWGhBg8ebH1TFrNqrb322mtKSEhQUFCQsrOzNXXqVGVmZqpZs2aW9mMFu17T9u/fXx07dtSoUaM0f/58lZSUaObMmRo/fnyteMPdzr3Azz//rLKyMpWUlOjs2bPO23Ts2FH+/v4WdOsedmW2d+9e9enTRwMGDNCkSZNUUlIi6cKBj9pwoMOu3D799FOVlpbq1ltvVVBQkPbt26epU6cqMTFRbdq0saxfd7Ars/8dsjp+/LikC58+rg3PD3bl9tFHH6m0tFRxcXFq2LChsrOzlZGRUSvOEmhXZtHR0brzzjs1YcIELV26VMHBwZo+fbpuvPFGJSUlWdewm9h9PG3dunWqrKysVV8Xaldm/fr109SpUzV+/Hg9/vjjqqqqUmZmpho0aMBa+4e1tmDBAg0cOFC+vr7auHGjMjMztX79eq8fUrDruG1KSoqeffZZjR07VtOmTdPevXv1yiuvaNGiRVa16lZ2Hu/ev3+/zp8/rxMnTuj06dPO9ditWzc3d+ledmWWm5ur5ORkTZgwQffee69zb+Dv76/Q0FBLenUnu3JbtWqVrrrqKnXu3FkBAQH69ttvNX36dA0fPtzrP/xoV2bVZyCq9u2338rX11edOnVya39WsSu3lStXyt/fXzExMZKkjRs3avny5Vq2bJklfbqTXZn17dtX3bt315gxY/Tyyy+rqqpK48ePV79+/S46K5a3svs94+XLl6tly5YaNGiQu1uzjF2ZDR48WIsWLdJzzz2nBx54QKdPn9aMGTMUFRXlvM96M7tyO378uDZs2KDevXvr3LlzysrK0rvvvqtt27ZZ1arb2DWf4JV7AwOPyM3NNZL+8pOWlmaMMSYrK+uS18+ePftv/29aWtol/y43N9fynjzBitwu9zd15e5gRWa7d+82SUlJJjQ01AQEBJg2bdqY9PR08+uvv3qmKQ+w6j763woLC40k8/3331vSg6dZkdmuXbtMbGysadq0qWnYsKHp0KGDycjIMOfOnfNMUx5g1Vo7f/68mTx5smnRooVp0qSJ6du3r9m7d6/1DXmAlffPBx54wCQkJFjbgE2syi0/P9/079/fhIaGmiZNmpi4uDjz6aefWt+QB1iV2ahRo0xoaKjx9/c3Xbp0MW+//bb1zVjEzte0RUVFZtCgQaZRo0YmLCzMTJ482VRUVFjXrBvZmVuvXr0ueZvCwkLL+nUHuzKbPXv2Ja+PioqytF93sSu3nJwcEx8f73wNd8MNN5hp06aZP/74w9J+3cFb9urVddSGzIyxL7fNmzebbt26maCgIBMYGGi6du1qlixZYhwOh7UNu4Gda+3UqVNmzJgxplmzZiY0NNTcfffdpri42Lpm3cju+2h8fLxJSUmxpjmL2JnZ559/bhITE03Tpk1NSEiI6dOnj8nLy7OuWTeyM7ekpCTnc2hsbGyt2V/Zedz2hx9+MD169DABAQGmVatWJjMz08JO3cvO3KKiov7xNt7Irswud//t1auXtQ27iV25rV271nTv3t35eq1jx44mIyPDnD171uKOa85b3o/KysoyTZs2dW9zFrIrtxUrVpgOHTqYxo0bm+DgYHPbbbeZd9991+Ju3cPOtXb48GFzzz33mKCgIHP11Veb0aNHm99//93Cbt3HztwcDoe59tprzYwZMyzs0P3szGzNmjUmJibGBAYGmvDwcDN06FBz4MABC7t1H7tyO3bsmImLizOBgYGmcePG5vbbbzc7duywuFv3sHM+wdv2Bj7GGCMAAAAAAAAAAAAAAAAAwL/GF4EDAAAAAAAAAAAAAAAAgIsYwAIAAAAAAAAAAAAAAAAAFzGABQAAAAAAAAAAAAAAAAAuYgALAAAAAAAAAAAAAAAAAFzEABYAAAAAAAAAAAAAAAAAuIgBLAAAAAAAAAAAAAAAAABwEQNYAAAAAAAAAAAAAAAAAOAiBrAAAAAAAAAAAAAAAAAAwEUMYAEAAAAAAAAAAAAAAACAixjAAgAAAAAAQJ0zevRo+fj4yMfHR1dddZWuvvpq9evXT8uXL1dVVdUV/58VK1aoWbNm1hUKAAAAAACAWo8BLAAAAAAAANRJAwcO1NGjR1VUVKTNmzcrKSlJEyZMUHJysiorK+0uDwAAAAAAAHUEA1gAAAAAAACokwICAhQREaFWrVqpe/fumjFjhjZt2qTNmzdrxYoVkqSFCxeqc+fOCgwMVGRkpB599FGVlZVJkrZu3aoHH3xQp06dcp5N65lnnpEklZeXa8qUKWrVqpUCAwMVGxurrVu32tMoAAAAAAAAbMUAFgAAAAAAAOqNPn36qGvXrtq4caMkydfXV4sXL9a+ffu0cuVK5eTk6Mknn5QkJSQk6OWXX1ZwcLCOHj2qo0ePasqUKZKkxx57THl5eVq7dq12796tYcOGaeDAgTp06JBtvQEAAAAAAMAePsYYY3cRAAAAAAAAgDuNHj1aJ0+e1AcffPCX6+6//37t3r1b+/fv/8t1GzZsUHp6uo4fPy5JWrFihZ544gmdPHnSeZvi4mK1bdtWxcXFuuaaa5yX9+3bV7fddpsyMjLc3g8AAAAAAAC8VwO7CwAAAAAAAAA8yRgjHx8fSdIXX3yhuXPn6scff9Sff/6pyspKnTt3TmfOnFHjxo0v+fd79uyRw+FQdHT0RZeXl5erefPmltcPAAAAAAAA78IAFgAAAAAAAOqVAwcO6LrrrlNRUZGSk5P1yCOPaM6cOQoNDdVXX32lsWPH6vz585cdwCorK5Ofn5927dolPz+/i64LCgryRAsAAAAAAADwIgxgAQAAAAAAoN7IycnRnj17NHHiRO3atUtVVVV66aWX5OvrK0lav379Rbf39/eXw+G46LKYmBg5HA799ttv6tmzp8dqBwAAAAAAgHdiAAsAAAAAAAB1Unl5uUpKSuRwOFRaWqrPPvtMc+fOVXJyslJTU7V3715VVFTo1Vdf1ZAhQ7R9+3YtWbLkov/Rpk0blZWVacuWLeratasaN26s6OhojRgxQqmpqXrppZcUExOjY8eOacuWLerSpYsGDx5sU8cAAAAAAACwg6/dBQAAAAAAAABW+Oyzz9SyZUu1adNGAwcOVG5urhYvXqxNmzbJz89PXbt21cKFCzVv3jx16tRJq1at0ty5cy/6HwkJCUpPT9fw4cMVHh6u+fPnS5KysrKUmpqqyZMnq3379rrrrruUn5+v1q1b29EqAAAAAAAAbORjjDF2FwEAAAAAAAAAAAAAAAAAtRFnwAIAAAAAAAAAAAAAAAAAFzGABQAAAAAAAAAAAAAAAAAuYgALAAAAAAAAAAAAAAAAAFzEABYAAAAAAAAAAAAAAAAAuIgBLAAAAAAAAAAAAAAAAABwEQNYAAAAAAAAAAAAAAAAAOAiBrAAAAAAAAAAAAAAAAAAwEUMYAEAAAAAAAAAAAAAAACAixjAAgAAAAAAAAAAAAAAAAAXMYAFAAAAAAAAAAAAAAAAAC5iAAsAAAAAAAAAAAAAAAAAXPR/Skj8ZJPIhRgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 3000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_trade_201411 = df_trade[(df_trade.day >= '2022-11-01') & (df_trade.day <= '2022-11-30')]\n",
    "day_stats = df_trade_201411.groupby(by='day')['buy_mount'].sum()\n",
    "\n",
    "plt.figure(figsize=(30, 5))\n",
    "x_list = [str(idx.month) + '-' + str(idx.day) for idx in day_stats.index]\n",
    "y_list = [int(value) for value in day_stats.values]\n",
    "sns.barplot(x=x_list, y=y_list)\n",
    "\n",
    "plt.title(\"Sales Volumn By Day(2022/11)\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Sales Volumn\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "9f7e9d94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>num</th>\n",
       "      <th>y_m</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020</td>\n",
       "      <td>7</td>\n",
       "      <td>643</td>\n",
       "      <td>2020-M7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020</td>\n",
       "      <td>8</td>\n",
       "      <td>781</td>\n",
       "      <td>2020-M8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>9</td>\n",
       "      <td>1158</td>\n",
       "      <td>2020-M9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020</td>\n",
       "      <td>10</td>\n",
       "      <td>1072</td>\n",
       "      <td>2020-M10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>11</td>\n",
       "      <td>1583</td>\n",
       "      <td>2020-M11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year month   num       y_m\n",
       "0  2020     7   643   2020-M7\n",
       "1  2020     8   781   2020-M8\n",
       "2  2020     9  1158   2020-M9\n",
       "3  2020    10  1072  2020-M10\n",
       "4  2020    11  1583  2020-M11"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#月度销量走势\n",
    "df_month = df_trade.groupby(by=['year', 'month'])['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num'})\n",
    "df_month['year'] = df_month['year'].astype(str)\n",
    "df_month['month'] = df_month['month'].astype(str)\n",
    "df_month['y_m'] = df_month['year']+'-M'+df_month['month']\n",
    "df_month.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "9d92b2c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "sns.barplot(x=df_month['y_m'],y=df_month['num'])\n",
    "# 将横坐标标签旋转45度\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "619a5ac1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>week</th>\n",
       "      <th>num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>202027</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>202028</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>202029</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202030</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>202031</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>202301</td>\n",
       "      <td>528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>202302</td>\n",
       "      <td>366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>202303</td>\n",
       "      <td>457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>202304</td>\n",
       "      <td>669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>202305</td>\n",
       "      <td>683</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>136 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       week  num\n",
       "0    202027   87\n",
       "1    202028  145\n",
       "2    202029  145\n",
       "3    202030  118\n",
       "4    202031  181\n",
       "..      ...  ...\n",
       "131  202301  528\n",
       "132  202302  366\n",
       "133  202303  457\n",
       "134  202304  669\n",
       "135  202305  683\n",
       "\n",
       "[136 rows x 2 columns]"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#周度销量走势\n",
    "df_week = df_trade.groupby(by=['week'])['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num'})\n",
    "df_week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "be75bc8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pyecharts.charts.basic_charts.bar.Bar at 0x1fab0798b80>"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Bar\n",
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(df_week['week'].values.tolist())\n",
    "    .add_yaxis('数量', df_week['num'].values.tolist(),\n",
    "              )\n",
    "    .set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title='直方图'),\n",
    "        xaxis_opts=opts.AxisOpts(name='横坐标'),\n",
    "        yaxis_opts=opts.AxisOpts(name='纵坐标'),\n",
    "    ))\n",
    "# 横轴缩放设置\n",
    "bar.set_global_opts(datazoom_opts=[\n",
    "        opts.DataZoomOpts(xaxis_index=[0], range_start=95, range_end=100, type_=\"inside\"),\n",
    "        opts.DataZoomOpts(xaxis_index=[0], range_start=95, range_end=100, type_=\"slider\")\n",
    "    ])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "7ced59f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/v5/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"a364222034e543b0a38fc16f4b734017\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_a364222034e543b0a38fc16f4b734017 = echarts.init(\n",
       "                    document.getElementById('a364222034e543b0a38fc16f4b734017'), 'white', {renderer: 'canvas'});\n",
       "                var option_a364222034e543b0a38fc16f4b734017 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"aria\": {\n",
       "        \"enabled\": false\n",
       "    },\n",
       "    \"color\": [\n",
       "        \"#5470c6\",\n",
       "        \"#91cc75\",\n",
       "        \"#fac858\",\n",
       "        \"#ee6666\",\n",
       "        \"#73c0de\",\n",
       "        \"#3ba272\",\n",
       "        \"#fc8452\",\n",
       "        \"#9a60b4\",\n",
       "        \"#ea7ccc\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u6570\\u91cf\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                87,\n",
       "                145,\n",
       "                145,\n",
       "                118,\n",
       "                181,\n",
       "                174,\n",
       "                156,\n",
       "                153,\n",
       "                243,\n",
       "                257,\n",
       "                258,\n",
       "                385,\n",
       "                230,\n",
       "                117,\n",
       "                216,\n",
       "                376,\n",
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       "                217,\n",
       "                448,\n",
       "                675,\n",
       "                216,\n",
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       "                232,\n",
       "                217,\n",
       "                161,\n",
       "                240,\n",
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       "                231,\n",
       "                294,\n",
       "                51,\n",
       "                18,\n",
       "                271,\n",
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       "                247,\n",
       "                231,\n",
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       "                309,\n",
       "                287,\n",
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       "                262,\n",
       "                239,\n",
       "                340,\n",
       "                379,\n",
       "                464,\n",
       "                377,\n",
       "                350,\n",
       "                216,\n",
       "                206,\n",
       "                394,\n",
       "                345,\n",
       "                211,\n",
       "                283,\n",
       "                376,\n",
       "                261,\n",
       "                284,\n",
       "                300,\n",
       "                359,\n",
       "                320,\n",
       "                456,\n",
       "                351,\n",
       "                346,\n",
       "                374,\n",
       "                237,\n",
       "                267,\n",
       "                318,\n",
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       "                668,\n",
       "                568,\n",
       "                331,\n",
       "                250,\n",
       "                375,\n",
       "                442,\n",
       "                372,\n",
       "                335,\n",
       "                348,\n",
       "                349,\n",
       "                360,\n",
       "                238,\n",
       "                65,\n",
       "                135,\n",
       "                348,\n",
       "                469,\n",
       "                474,\n",
       "                539,\n",
       "                390,\n",
       "                414,\n",
       "                355,\n",
       "                556,\n",
       "                375,\n",
       "                615,\n",
       "                429,\n",
       "                518,\n",
       "                441,\n",
       "                746,\n",
       "                735,\n",
       "                663,\n",
       "                347,\n",
       "                406,\n",
       "                374,\n",
       "                343,\n",
       "                348,\n",
       "                405,\n",
       "                463,\n",
       "                316,\n",
       "                344,\n",
       "                541,\n",
       "                343,\n",
       "                463,\n",
       "                468,\n",
       "                417,\n",
       "                517,\n",
       "                552,\n",
       "                488,\n",
       "                367,\n",
       "                408,\n",
       "                587,\n",
       "                486,\n",
       "                479,\n",
       "                470,\n",
       "                1181,\n",
       "                604,\n",
       "                724,\n",
       "                429,\n",
       "                604,\n",
       "                687,\n",
       "                454,\n",
       "                552,\n",
       "                528,\n",
       "                366,\n",
       "                457,\n",
       "                669,\n",
       "                683\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u6570\\u91cf\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u6a2a\\u5750\\u6807\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                202027,\n",
       "                202028,\n",
       "                202029,\n",
       "                202030,\n",
       "                202031,\n",
       "                202032,\n",
       "                202033,\n",
       "                202034,\n",
       "                202035,\n",
       "                202036,\n",
       "                202037,\n",
       "                202038,\n",
       "                202039,\n",
       "                202040,\n",
       "                202041,\n",
       "                202042,\n",
       "                202043,\n",
       "                202044,\n",
       "                202045,\n",
       "                202046,\n",
       "                202047,\n",
       "                202048,\n",
       "                202049,\n",
       "                202050,\n",
       "                202051,\n",
       "                202052,\n",
       "                202053,\n",
       "                202101,\n",
       "                202102,\n",
       "                202103,\n",
       "                202104,\n",
       "                202105,\n",
       "                202106,\n",
       "                202107,\n",
       "                202108,\n",
       "                202109,\n",
       "                202110,\n",
       "                202111,\n",
       "                202112,\n",
       "                202113,\n",
       "                202114,\n",
       "                202115,\n",
       "                202116,\n",
       "                202117,\n",
       "                202118,\n",
       "                202119,\n",
       "                202120,\n",
       "                202121,\n",
       "                202122,\n",
       "                202123,\n",
       "                202124,\n",
       "                202125,\n",
       "                202126,\n",
       "                202127,\n",
       "                202128,\n",
       "                202129,\n",
       "                202130,\n",
       "                202131,\n",
       "                202132,\n",
       "                202133,\n",
       "                202134,\n",
       "                202135,\n",
       "                202136,\n",
       "                202137,\n",
       "                202138,\n",
       "                202139,\n",
       "                202140,\n",
       "                202141,\n",
       "                202142,\n",
       "                202143,\n",
       "                202144,\n",
       "                202145,\n",
       "                202146,\n",
       "                202147,\n",
       "                202148,\n",
       "                202149,\n",
       "                202150,\n",
       "                202151,\n",
       "                202152,\n",
       "                202201,\n",
       "                202202,\n",
       "                202203,\n",
       "                202204,\n",
       "                202205,\n",
       "                202206,\n",
       "                202207,\n",
       "                202208,\n",
       "                202209,\n",
       "                202210,\n",
       "                202211,\n",
       "                202212,\n",
       "                202213,\n",
       "                202214,\n",
       "                202215,\n",
       "                202216,\n",
       "                202217,\n",
       "                202218,\n",
       "                202219,\n",
       "                202220,\n",
       "                202221,\n",
       "                202222,\n",
       "                202223,\n",
       "                202224,\n",
       "                202225,\n",
       "                202226,\n",
       "                202227,\n",
       "                202228,\n",
       "                202229,\n",
       "                202230,\n",
       "                202231,\n",
       "                202232,\n",
       "                202233,\n",
       "                202234,\n",
       "                202235,\n",
       "                202236,\n",
       "                202237,\n",
       "                202238,\n",
       "                202239,\n",
       "                202240,\n",
       "                202241,\n",
       "                202242,\n",
       "                202243,\n",
       "                202244,\n",
       "                202245,\n",
       "                202246,\n",
       "                202247,\n",
       "                202248,\n",
       "                202249,\n",
       "                202250,\n",
       "                202251,\n",
       "                202252,\n",
       "                202301,\n",
       "                202302,\n",
       "                202303,\n",
       "                202304,\n",
       "                202305\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u7eb5\\u5750\\u6807\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"target\": \"blank\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
       "            \"triggerEvent\": false\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"inside\",\n",
       "            \"showDetail\": true,\n",
       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 95,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        },\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"showDetail\": true,\n",
       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 95,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_a364222034e543b0a38fc16f4b734017.setOption(option_a364222034e543b0a38fc16f4b734017);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1fab07554b0>"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d4e414a",
   "metadata": {},
   "source": [
    "### 2021双11前后日度流量分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "a55f88f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_trade['day_str'] = df_trade['day'].apply(lambda x:datetime.strftime(x,'%Y%m%d'))\n",
    "df_trade_202111 = df_trade.query(\"week >=202143 and week <=202147\")\n",
    "df_day_202111 = df_trade_202111.groupby(by=['day_str'])['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "31574ad3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/v5/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"59ec7a0fe67a4355b32f16f72fc5cf54\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_59ec7a0fe67a4355b32f16f72fc5cf54 = echarts.init(\n",
       "                    document.getElementById('59ec7a0fe67a4355b32f16f72fc5cf54'), 'white', {renderer: 'canvas'});\n",
       "                var option_59ec7a0fe67a4355b32f16f72fc5cf54 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"aria\": {\n",
       "        \"enabled\": false\n",
       "    },\n",
       "    \"color\": [\n",
       "        \"#5470c6\",\n",
       "        \"#91cc75\",\n",
       "        \"#fac858\",\n",
       "        \"#ee6666\",\n",
       "        \"#73c0de\",\n",
       "        \"#3ba272\",\n",
       "        \"#fc8452\",\n",
       "        \"#9a60b4\",\n",
       "        \"#ea7ccc\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u6570\\u91cf\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                47,\n",
       "                57,\n",
       "                38,\n",
       "                49,\n",
       "                45,\n",
       "                48,\n",
       "                140,\n",
       "                212,\n",
       "                28,\n",
       "                112,\n",
       "                35,\n",
       "                54,\n",
       "                171,\n",
       "                56,\n",
       "                37,\n",
       "                33,\n",
       "                45,\n",
       "                307,\n",
       "                47,\n",
       "                45,\n",
       "                54,\n",
       "                36,\n",
       "                46,\n",
       "                29,\n",
       "                55,\n",
       "                48,\n",
       "                69,\n",
       "                48,\n",
       "                30,\n",
       "                37,\n",
       "                26,\n",
       "                31,\n",
       "                52,\n",
       "                36,\n",
       "                38\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u6570\\u91cf\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u6a2a\\u5750\\u6807\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"20211025\",\n",
       "                \"20211026\",\n",
       "                \"20211027\",\n",
       "                \"20211028\",\n",
       "                \"20211029\",\n",
       "                \"20211030\",\n",
       "                \"20211031\",\n",
       "                \"20211101\",\n",
       "                \"20211102\",\n",
       "                \"20211103\",\n",
       "                \"20211104\",\n",
       "                \"20211105\",\n",
       "                \"20211106\",\n",
       "                \"20211107\",\n",
       "                \"20211108\",\n",
       "                \"20211109\",\n",
       "                \"20211110\",\n",
       "                \"20211111\",\n",
       "                \"20211112\",\n",
       "                \"20211113\",\n",
       "                \"20211114\",\n",
       "                \"20211115\",\n",
       "                \"20211116\",\n",
       "                \"20211117\",\n",
       "                \"20211118\",\n",
       "                \"20211119\",\n",
       "                \"20211120\",\n",
       "                \"20211121\",\n",
       "                \"20211122\",\n",
       "                \"20211123\",\n",
       "                \"20211124\",\n",
       "                \"20211125\",\n",
       "                \"20211126\",\n",
       "                \"20211127\",\n",
       "                \"20211128\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u7eb5\\u5750\\u6807\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"target\": \"blank\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
       "            \"triggerEvent\": false\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"inside\",\n",
       "            \"showDetail\": true,\n",
       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 95,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        },\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"showDetail\": true,\n",
       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 95,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_59ec7a0fe67a4355b32f16f72fc5cf54.setOption(option_59ec7a0fe67a4355b32f16f72fc5cf54);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1fab06ce2c0>"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(df_day_202111['day_str'].values.tolist())\n",
    "    .add_yaxis('数量', df_day_202111['num'].values.tolist(),\n",
    "              )\n",
    "    .set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title='直方图'),\n",
    "        xaxis_opts=opts.AxisOpts(name='横坐标'),\n",
    "        yaxis_opts=opts.AxisOpts(name='纵坐标'),\n",
    "    ))\n",
    "# 横轴缩放设置\n",
    "bar.set_global_opts(datazoom_opts=[\n",
    "        opts.DataZoomOpts(xaxis_index=[0], range_start=95, range_end=100, type_=\"inside\"),\n",
    "        opts.DataZoomOpts(xaxis_index=[0], range_start=95, range_end=100, type_=\"slider\")\n",
    "    ])\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "026b8998",
   "metadata": {},
   "source": [
    "### 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "87631700",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_trade_202211 = df_trade.query(\"week >=202243 and week <=202247\")\n",
    "df_day_202211 = df_trade_202211.groupby(by=['day_str'])['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "01f05458",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/v5/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"6e3e45608c1b46c0a4c3d79f728f556d\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_6e3e45608c1b46c0a4c3d79f728f556d = echarts.init(\n",
       "                    document.getElementById('6e3e45608c1b46c0a4c3d79f728f556d'), 'white', {renderer: 'canvas'});\n",
       "                var option_6e3e45608c1b46c0a4c3d79f728f556d = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"aria\": {\n",
       "        \"enabled\": false\n",
       "    },\n",
       "    \"color\": [\n",
       "        \"#5470c6\",\n",
       "        \"#91cc75\",\n",
       "        \"#fac858\",\n",
       "        \"#ee6666\",\n",
       "        \"#73c0de\",\n",
       "        \"#3ba272\",\n",
       "        \"#fc8452\",\n",
       "        \"#9a60b4\",\n",
       "        \"#ea7ccc\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u6570\\u91cf\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                84,\n",
       "                87,\n",
       "                40,\n",
       "                76,\n",
       "                79,\n",
       "                53,\n",
       "                60,\n",
       "                83,\n",
       "                52,\n",
       "                56,\n",
       "                73,\n",
       "                70,\n",
       "                69,\n",
       "                67,\n",
       "                71,\n",
       "                61,\n",
       "                59,\n",
       "                85,\n",
       "                774,\n",
       "                70,\n",
       "                61,\n",
       "                73,\n",
       "                152,\n",
       "                49,\n",
       "                87,\n",
       "                74,\n",
       "                90,\n",
       "                79,\n",
       "                39,\n",
       "                223,\n",
       "                53,\n",
       "                48,\n",
       "                50,\n",
       "                259,\n",
       "                52\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u6570\\u91cf\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u6a2a\\u5750\\u6807\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"20221024\",\n",
       "                \"20221025\",\n",
       "                \"20221026\",\n",
       "                \"20221027\",\n",
       "                \"20221028\",\n",
       "                \"20221029\",\n",
       "                \"20221030\",\n",
       "                \"20221031\",\n",
       "                \"20221101\",\n",
       "                \"20221102\",\n",
       "                \"20221103\",\n",
       "                \"20221104\",\n",
       "                \"20221105\",\n",
       "                \"20221106\",\n",
       "                \"20221107\",\n",
       "                \"20221108\",\n",
       "                \"20221109\",\n",
       "                \"20221110\",\n",
       "                \"20221111\",\n",
       "                \"20221112\",\n",
       "                \"20221113\",\n",
       "                \"20221114\",\n",
       "                \"20221115\",\n",
       "                \"20221116\",\n",
       "                \"20221117\",\n",
       "                \"20221118\",\n",
       "                \"20221119\",\n",
       "                \"20221120\",\n",
       "                \"20221121\",\n",
       "                \"20221122\",\n",
       "                \"20221123\",\n",
       "                \"20221124\",\n",
       "                \"20221125\",\n",
       "                \"20221126\",\n",
       "                \"20221127\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u7eb5\\u5750\\u6807\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"target\": \"blank\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
       "            \"triggerEvent\": false\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"inside\",\n",
       "            \"showDetail\": true,\n",
       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 95,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        },\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"showDetail\": true,\n",
       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 95,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_6e3e45608c1b46c0a4c3d79f728f556d.setOption(option_6e3e45608c1b46c0a4c3d79f728f556d);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1faaf8bb7f0>"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(df_day_202211['day_str'].values.tolist())\n",
    "    .add_yaxis('数量', df_day_202211['num'].values.tolist(),\n",
    "              )\n",
    "    .set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title='直方图'),\n",
    "        xaxis_opts=opts.AxisOpts(name='横坐标'),\n",
    "        yaxis_opts=opts.AxisOpts(name='纵坐标'),\n",
    "    ))\n",
    "# 横轴缩放设置\n",
    "bar.set_global_opts(datazoom_opts=[\n",
    "        opts.DataZoomOpts(xaxis_index=[0], range_start=95, range_end=100, type_=\"inside\"),\n",
    "        opts.DataZoomOpts(xaxis_index=[0], range_start=95, range_end=100, type_=\"slider\")\n",
    "    ])\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02d338ed",
   "metadata": {},
   "source": [
    "### 2021春节"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "4af015d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_trade_202101 = df_trade.query(\"week >=202105 and week <=202107\")\n",
    "df_day_202101 = df_trade_202101.groupby(by=['day_str'])['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "9beb4cb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/v5/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"977f07c3c60245399b922e40022dc4a2\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_977f07c3c60245399b922e40022dc4a2 = echarts.init(\n",
       "                    document.getElementById('977f07c3c60245399b922e40022dc4a2'), 'white', {renderer: 'canvas'});\n",
       "                var option_977f07c3c60245399b922e40022dc4a2 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"aria\": {\n",
       "        \"enabled\": false\n",
       "    },\n",
       "    \"color\": [\n",
       "        \"#5470c6\",\n",
       "        \"#91cc75\",\n",
       "        \"#fac858\",\n",
       "        \"#ee6666\",\n",
       "        \"#73c0de\",\n",
       "        \"#3ba272\",\n",
       "        \"#fc8452\",\n",
       "        \"#9a60b4\",\n",
       "        \"#ea7ccc\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u6570\\u91cf\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                19,\n",
       "                10,\n",
       "                6,\n",
       "                5,\n",
       "                4,\n",
       "                4,\n",
       "                3,\n",
       "                2,\n",
       "                2,\n",
       "                1,\n",
       "                2,\n",
       "                2,\n",
       "                5,\n",
       "                4,\n",
       "                12,\n",
       "                95,\n",
       "                48,\n",
       "                40,\n",
       "                19,\n",
       "                34,\n",
       "                23\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u6570\\u91cf\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u6a2a\\u5750\\u6807\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"20210201\",\n",
       "                \"20210202\",\n",
       "                \"20210203\",\n",
       "                \"20210204\",\n",
       "                \"20210205\",\n",
       "                \"20210206\",\n",
       "                \"20210207\",\n",
       "                \"20210208\",\n",
       "                \"20210209\",\n",
       "                \"20210210\",\n",
       "                \"20210211\",\n",
       "                \"20210212\",\n",
       "                \"20210213\",\n",
       "                \"20210214\",\n",
       "                \"20210215\",\n",
       "                \"20210216\",\n",
       "                \"20210217\",\n",
       "                \"20210218\",\n",
       "                \"20210219\",\n",
       "                \"20210220\",\n",
       "                \"20210221\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u7eb5\\u5750\\u6807\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"target\": \"blank\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
       "            \"triggerEvent\": false\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"inside\",\n",
       "            \"showDetail\": true,\n",
       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 95,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        },\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"showDetail\": true,\n",
       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 95,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_977f07c3c60245399b922e40022dc4a2.setOption(option_977f07c3c60245399b922e40022dc4a2);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1faaf988220>"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(df_day_202101['day_str'].values.tolist())\n",
    "    .add_yaxis('数量', df_day_202101['num'].values.tolist(),\n",
    "              )\n",
    "    .set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title='直方图'),\n",
    "        xaxis_opts=opts.AxisOpts(name='横坐标'),\n",
    "        yaxis_opts=opts.AxisOpts(name='纵坐标'),\n",
    "    ))\n",
    "# 横轴缩放设置\n",
    "bar.set_global_opts(datazoom_opts=[\n",
    "        opts.DataZoomOpts(xaxis_index=[0], range_start=95, range_end=100, type_=\"inside\"),\n",
    "        opts.DataZoomOpts(xaxis_index=[0], range_start=95, range_end=100, type_=\"slider\")\n",
    "    ])\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e1376ec",
   "metadata": {},
   "source": [
    "### 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "7c0b5c8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_trade_202201 = df_trade.query(\"week >=202205 and week <=202207\")\n",
    "df_day_202201 = df_trade_202201.groupby(by=['day_str'])['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "0e414646",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/v5/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"5cf3e1e9e446469aa044806c22b00bb9\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_5cf3e1e9e446469aa044806c22b00bb9 = echarts.init(\n",
       "                    document.getElementById('5cf3e1e9e446469aa044806c22b00bb9'), 'white', {renderer: 'canvas'});\n",
       "                var option_5cf3e1e9e446469aa044806c22b00bb9 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"aria\": {\n",
       "        \"enabled\": false\n",
       "    },\n",
       "    \"color\": [\n",
       "        \"#5470c6\",\n",
       "        \"#91cc75\",\n",
       "        \"#fac858\",\n",
       "        \"#ee6666\",\n",
       "        \"#73c0de\",\n",
       "        \"#3ba272\",\n",
       "        \"#fc8452\",\n",
       "        \"#9a60b4\",\n",
       "        \"#ea7ccc\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u6570\\u91cf\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                2,\n",
       "                4,\n",
       "                7,\n",
       "                12,\n",
       "                30,\n",
       "                63,\n",
       "                17,\n",
       "                63,\n",
       "                40,\n",
       "                29,\n",
       "                43,\n",
       "                36,\n",
       "                103,\n",
       "                34,\n",
       "                35,\n",
       "                36,\n",
       "                41,\n",
       "                134,\n",
       "                107,\n",
       "                65,\n",
       "                51\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u6570\\u91cf\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u6a2a\\u5750\\u6807\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"20220131\",\n",
       "                \"20220201\",\n",
       "                \"20220202\",\n",
       "                \"20220203\",\n",
       "                \"20220204\",\n",
       "                \"20220205\",\n",
       "                \"20220206\",\n",
       "                \"20220207\",\n",
       "                \"20220208\",\n",
       "                \"20220209\",\n",
       "                \"20220210\",\n",
       "                \"20220211\",\n",
       "                \"20220212\",\n",
       "                \"20220213\",\n",
       "                \"20220214\",\n",
       "                \"20220215\",\n",
       "                \"20220216\",\n",
       "                \"20220217\",\n",
       "                \"20220218\",\n",
       "                \"20220219\",\n",
       "                \"20220220\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"name\": \"\\u7eb5\\u5750\\u6807\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"target\": \"blank\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
       "            \"triggerEvent\": false\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"inside\",\n",
       "            \"showDetail\": true,\n",
       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 95,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        },\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"showDetail\": true,\n",
       "            \"showDataShadow\": true,\n",
       "            \"realtime\": true,\n",
       "            \"start\": 95,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_5cf3e1e9e446469aa044806c22b00bb9.setOption(option_5cf3e1e9e446469aa044806c22b00bb9);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1fab16ad6f0>"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(df_day_202201['day_str'].values.tolist())\n",
    "    .add_yaxis('数量', df_day_202201['num'].values.tolist(),\n",
    "              )\n",
    "    .set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title='直方图'),\n",
    "        xaxis_opts=opts.AxisOpts(name='横坐标'),\n",
    "        yaxis_opts=opts.AxisOpts(name='纵坐标'),\n",
    "    ))\n",
    "# 横轴缩放设置\n",
    "bar.set_global_opts(datazoom_opts=[\n",
    "        opts.DataZoomOpts(xaxis_index=[0], range_start=95, range_end=100, type_=\"inside\"),\n",
    "        opts.DataZoomOpts(xaxis_index=[0], range_start=95, range_end=100, type_=\"slider\")\n",
    "    ])\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "878c9cc5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "68eace5c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "c8dd238e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 商品大类销售情况\n",
    "category_1_stats = df_trade.groupby(by=\"category_1\")['buy_mount'].sum()\n",
    "sns.barplot(x=category_1_stats.index, y=category_1_stats.values)\n",
    "plt.title(\"Sales Volumn by Category\")\n",
    "plt.xlabel(\"Category_1\")\n",
    "plt.ylabel('Sales Volumn')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "93cf30db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 一级类目下二级类别数量\n",
    "category_2_stats = df_trade.groupby('category_1')['category_2'].nunique()\n",
    "sns.barplot(x=category_2_stats.index, y=category_2_stats.values)\n",
    "plt.title(\"Category_2 Stats\")\n",
    "plt.xlabel(\"Category_1\")\n",
    "plt.ylabel(\"Unique Number of Category_2\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "bb0e9e95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 人均大类购买情况\n",
    "ave_category_stats = (df_trade.groupby(\"category_1\")['buy_mount'].sum() / df_trade.groupby(\"category_1\")['category_2'].nunique())\n",
    "\n",
    "sns.barplot(x=ave_category_stats.index, y=ave_category_stats.values)\n",
    "plt.title(\"Average Sales Volumn Stats by Category_2\")\n",
    "plt.xlabel(\"Category_1\")\n",
    "plt.ylabel(\"# Avg Contribution of Category_2\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "8461fd74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 商品大类销售情况\n",
    "category_1_stats = df_trade.groupby(by=\"category_1\")['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num_1'})\n",
    "# 商品大类下二级类目的销售情况,.nunique() 方法统计每个分组中 'category_2' 列中不同元素的数量；\n",
    "category_2_stats = df_trade.groupby(by=\"category_1\")['category_2'].nunique().reset_index().rename(columns={'category_2':'num_2'})\n",
    "category_df = category_1_stats.merge(category_2_stats,on='category_1')\n",
    "category_df['avg_sale_2'] = category_df['num_1']/category_df['num_2']\n",
    "# 绘制直方图\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "index =np.arange(len(category_df))\n",
    "ax.bar(index-0.15, category_df['num_1'], width=0.3, label='一级类目销售总数', alpha=0.7, color='#065aab')\n",
    "\n",
    "ax.set_xlabel('category_1')\n",
    "ax.set_ylabel('num')\n",
    "ax.set_title('一级类目产品销售情况分析')\n",
    "ax.tick_params(axis='x', labelrotation=-15)\n",
    "\n",
    "# 绘制直方图\n",
    "ax1 = ax.twinx()\n",
    "ax1.bar(index+0.15, category_df['num_2'], width=0.3, label='一级类目所含二级类目数', alpha=0.7, color='orange')\n",
    "ax1.plot(index, category_df['avg_sale_2'],  label='二级产品平均贡献度', alpha=0.7, color='red')\n",
    "ax.tick_params(axis='x', labelrotation=-15)\n",
    "plt.xticks(index,category_df['category_1'].values.tolist())\n",
    "ax.legend(loc='upper right')\n",
    "ax1.legend(loc='upper left')\n",
    "# 展示结果\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "830544d1",
   "metadata": {},
   "source": [
    "### 产品价值分层"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "3a87bc09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>category_2</th>\n",
       "      <th>num</th>\n",
       "      <th>total_num</th>\n",
       "      <th>percent</th>\n",
       "      <th>cum_percent</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>50012462</td>\n",
       "      <td>97</td>\n",
       "      <td>49586</td>\n",
       "      <td>0.001956</td>\n",
       "      <td>0.792502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>121424027</td>\n",
       "      <td>96</td>\n",
       "      <td>49586</td>\n",
       "      <td>0.001936</td>\n",
       "      <td>0.794438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>50012245</td>\n",
       "      <td>95</td>\n",
       "      <td>49586</td>\n",
       "      <td>0.001916</td>\n",
       "      <td>0.796354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>50005987</td>\n",
       "      <td>91</td>\n",
       "      <td>49586</td>\n",
       "      <td>0.001835</td>\n",
       "      <td>0.798189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>203322</td>\n",
       "      <td>90</td>\n",
       "      <td>49586</td>\n",
       "      <td>0.001815</td>\n",
       "      <td>0.800004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>50013881</td>\n",
       "      <td>88</td>\n",
       "      <td>49586</td>\n",
       "      <td>0.001775</td>\n",
       "      <td>0.801779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>50016063</td>\n",
       "      <td>88</td>\n",
       "      <td>49586</td>\n",
       "      <td>0.001775</td>\n",
       "      <td>0.803553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>50019069</td>\n",
       "      <td>87</td>\n",
       "      <td>49586</td>\n",
       "      <td>0.001755</td>\n",
       "      <td>0.805308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>50012367</td>\n",
       "      <td>84</td>\n",
       "      <td>49586</td>\n",
       "      <td>0.001694</td>\n",
       "      <td>0.807002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>50014530</td>\n",
       "      <td>83</td>\n",
       "      <td>49586</td>\n",
       "      <td>0.001674</td>\n",
       "      <td>0.808676</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     category_2  num  total_num   percent  cum_percent\n",
       "113    50012462   97      49586  0.001956     0.792502\n",
       "114   121424027   96      49586  0.001936     0.794438\n",
       "115    50012245   95      49586  0.001916     0.796354\n",
       "116    50005987   91      49586  0.001835     0.798189\n",
       "117      203322   90      49586  0.001815     0.800004\n",
       "118    50013881   88      49586  0.001775     0.801779\n",
       "119    50016063   88      49586  0.001775     0.803553\n",
       "120    50019069   87      49586  0.001755     0.805308\n",
       "121    50012367   84      49586  0.001694     0.807002\n",
       "122    50014530   83      49586  0.001674     0.808676"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_2_df = df_trade.groupby(by=\"category_2\")['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num'}).\\\n",
    "    sort_values(by='num',ascending=False).reset_index(drop=True)\n",
    "category_2_df['total_num'] = category_2_df['num'].sum() # 总销售\n",
    "category_2_df['percent'] =  category_2_df['num']/category_2_df['total_num']\n",
    "category_2_df['cum_percent'] =  category_2_df['percent'].cumsum() # 添加一列累积比重\n",
    "category_2_df.query(\"cum_percent <0.81\").tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "5618bea0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "产品80%的销售来自17.674%的商品\n"
     ]
    }
   ],
   "source": [
    "print('产品80%%的销售来自%.3f%%的商品'%((117/len(category_2_df)*100)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "e65e0106",
   "metadata": {},
   "outputs": [],
   "source": [
    "#提取销量占比高的产品\n",
    "category_8 =category_2_df[:118].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "3c3777b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "          user_id category_2_str\n",
       "0            2356       50015727\n",
       "1            2757       50010555\n",
       "2            3942       50012432\n",
       "3            4468       50013711\n",
       "4            7164      121408024\n",
       "...           ...            ...\n",
       "29908  2417261382         203319\n",
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       "29911  2428494132         211122\n",
       "29912  2431252842       50023733\n",
       "\n",
       "[29913 rows x 2 columns]"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#提取用户ID和产品分类\n",
    "df_trade['category_2_str'] = df_trade['category_2'].astype('str')\n",
    "\n",
    "basket_df = df_trade[['user_id','category_2_str']].groupby('user_id')['category_2_str'].apply(','.join).reset_index()\n",
    "basket_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "06b2fffa",
   "metadata": {},
   "outputs": [
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       "29910      False      False      False      False      False      False   \n",
       "29911      False      False      False      False      False      False   \n",
       "29912      False      False      False      False      False      False   \n",
       "\n",
       "       121368022  121370037  121380035  121380043  ...  50152021  50156020   \n",
       "0          False      False      False      False  ...     False     False  \\\n",
       "1          False      False      False      False  ...     False     False   \n",
       "2          False      False      False      False  ...     False     False   \n",
       "3          False      False      False      False  ...     False     False   \n",
       "4          False      False      False      False  ...     False     False   \n",
       "...          ...        ...        ...        ...  ...       ...       ...   \n",
       "29908      False      False      False      False  ...     False     False   \n",
       "29909      False      False      False      False  ...     False     False   \n",
       "29910      False      False      False      False  ...     False     False   \n",
       "29911      False      False      False      False  ...     False     False   \n",
       "29912      False      False      False      False  ...     False     False   \n",
       "\n",
       "       50158020  50158022  50228021  50232021  50234023  50236022  50250019   \n",
       "0         False     False     False     False     False     False     False  \\\n",
       "1         False     False     False     False     False     False     False   \n",
       "2         False     False     False     False     False     False     False   \n",
       "3         False     False     False     False     False     False     False   \n",
       "4         False     False     False     False     False     False     False   \n",
       "...         ...       ...       ...       ...       ...       ...       ...   \n",
       "29908     False     False     False     False     False     False     False   \n",
       "29909     False     False     False     False     False     False     False   \n",
       "29910     False     False     False     False     False     False     False   \n",
       "29911     False     False     False     False     False     False     False   \n",
       "29912     False     False     False     False     False     False     False   \n",
       "\n",
       "       50250020  \n",
       "0         False  \n",
       "1         False  \n",
       "2         False  \n",
       "3         False  \n",
       "4         False  \n",
       "...         ...  \n",
       "29908     False  \n",
       "29909     False  \n",
       "29910     False  \n",
       "29911     False  \n",
       "29912     False  \n",
       "\n",
       "[29913 rows x 662 columns]"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basket_list = list(basket_df['category_2_str'].apply(lambda x:x.split(',')))\n",
    "# 转换数据类型，每个值转成唯一的bool值\n",
    "from mlxtend.preprocessing import TransactionEncoder\n",
    "te = TransactionEncoder()\n",
    "basket_data = te.fit(basket_list).transform(basket_list)\n",
    "bk_df = pd.DataFrame(basket_data,columns=te.columns_)\n",
    "bk_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "bbb1e8ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "from mlxtend.frequent_patterns import apriori,association_rules\n",
    "bk_df_result = apriori(bk_df,min_support=0.015,use_colnames=True)\n",
    "bk_rules = association_rules(bk_df_result, metric=\"lift\", min_threshold=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "26ec5728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "频繁项集：\n",
      "     support    itemsets\n",
      "0   0.016749    (211122)\n",
      "1   0.030856  (50006602)\n",
      "2   0.017451  (50010555)\n",
      "3   0.044797  (50010558)\n",
      "4   0.015512  (50010566)\n",
      "5   0.028817  (50011993)\n",
      "6   0.018520  (50012359)\n",
      "7   0.024705  (50012451)\n",
      "8   0.038378  (50013207)\n",
      "9   0.069067  (50013636)\n",
      "10  0.023936  (50018831)\n",
      "11  0.015913  (50023591)\n",
      "\n",
      "关联规则：\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>antecedents</th>\n",
       "      <th>consequents</th>\n",
       "      <th>support</th>\n",
       "      <th>confidence</th>\n",
       "      <th>lift</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [antecedents, consequents, support, confidence, lift]\n",
       "Index: []"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#求支持度、置信度、提升度\n",
    "print(\"频繁项集：\")\n",
    "print(bk_df_result)\n",
    "print(\"\\n关联规则：\")\n",
    "bk_rules[['antecedents', 'consequents', 'support', 'confidence', 'lift']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f0b20038",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "527ff27c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>category_1</th>\n",
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       "      <th>birthday</th>\n",
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       "      <th>924</th>\n",
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       "      <td>50018831</td>\n",
       "      <td>50014815</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-06-01</td>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2020-02-23</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>389326420</td>\n",
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       "      <td>50006820</td>\n",
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       "      <td>1</td>\n",
       "      <td>2022-09-16</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>2021-07-17</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>359840716</td>\n",
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       "      <td>1</td>\n",
       "      <td>2021-03-18</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-01-20</td>\n",
       "      <td>0</td>\n",
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       "      <th>927</th>\n",
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       "      <td>2021</td>\n",
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       "      <td>2022-09-13</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>2021-01-28</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>929 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       user_id   auction_id  category_2  category_1  buy_mount        day   \n",
       "0    513441334  19909384116    50010557    50008168          1 2020-12-12  \\\n",
       "1    377550424  15771663914    50015841          28          1 2020-11-23   \n",
       "2     47342027  14066344263    50013636    50008168          1 2020-09-11   \n",
       "3    119784861  20796936076    50140021    50008168          1 2020-11-29   \n",
       "4    159129426  15198386301    50013711    50008168          2 2020-08-08   \n",
       "..         ...          ...         ...         ...        ...        ...   \n",
       "924  685332320  12781785338    50018831    50014815          2 2021-06-01   \n",
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       "926  359840716  17513925908    50013207    50008168          1 2021-03-18   \n",
       "927    1372572  16915013171    50008845          28          1 2021-03-27   \n",
       "928   54855720  39635136808    50018436    50014815          2 2022-09-13   \n",
       "\n",
       "     year  quarter  month   birthday  gender  \n",
       "0    2020        4     12 2019-01-05       1  \n",
       "1    2020        4     11 2019-06-20       1  \n",
       "2    2020        3      9 2018-10-08       1  \n",
       "3    2020        4     11 2020-03-27       0  \n",
       "4    2020        3      8 2018-08-25       0  \n",
       "..    ...      ...    ...        ...     ...  \n",
       "924  2021        2      6 2020-02-23       0  \n",
       "925  2022        3      9 2021-07-17       0  \n",
       "926  2021        1      3 2017-01-20       0  \n",
       "927  2021        1      3 2020-01-30       1  \n",
       "928  2022        3      9 2021-01-28       0  \n",
       "\n",
       "[929 rows x 11 columns]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge = pd.merge(df_trade, df_baby)\n",
    "df_merge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "ae49f4d2",
   "metadata": {},
   "outputs": [
    {
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       "      <td>50140021</td>\n",
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       "      <td>2020-11-29</td>\n",
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       "      <td>2020-03-27</td>\n",
       "      <td>0</td>\n",
       "      <td>0.68</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>50013711</td>\n",
       "      <td>50008168</td>\n",
       "      <td>2</td>\n",
       "      <td>2020-08-08</td>\n",
       "      <td>2020</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>2018-08-25</td>\n",
       "      <td>0</td>\n",
       "      <td>1.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>685332320</td>\n",
       "      <td>12781785338</td>\n",
       "      <td>50018831</td>\n",
       "      <td>50014815</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-06-01</td>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2020-02-23</td>\n",
       "      <td>0</td>\n",
       "      <td>1.27</td>\n",
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       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>389326420</td>\n",
       "      <td>17164967407</td>\n",
       "      <td>50006820</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-09-16</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>2021-07-17</td>\n",
       "      <td>0</td>\n",
       "      <td>1.17</td>\n",
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       "      <td>359840716</td>\n",
       "      <td>17513925908</td>\n",
       "      <td>50013207</td>\n",
       "      <td>50008168</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-18</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2017-01-20</td>\n",
       "      <td>0</td>\n",
       "      <td>4.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>1372572</td>\n",
       "      <td>16915013171</td>\n",
       "      <td>50008845</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-27</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>1</td>\n",
       "      <td>1.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>928</th>\n",
       "      <td>54855720</td>\n",
       "      <td>39635136808</td>\n",
       "      <td>50018436</td>\n",
       "      <td>50014815</td>\n",
       "      <td>2</td>\n",
       "      <td>2022-09-13</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>2021-01-28</td>\n",
       "      <td>0</td>\n",
       "      <td>1.62</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>929 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       user_id   auction_id  category_2  category_1  buy_mount        day   \n",
       "0    513441334  19909384116    50010557    50008168          1 2020-12-12  \\\n",
       "1    377550424  15771663914    50015841          28          1 2020-11-23   \n",
       "2     47342027  14066344263    50013636    50008168          1 2020-09-11   \n",
       "3    119784861  20796936076    50140021    50008168          1 2020-11-29   \n",
       "4    159129426  15198386301    50013711    50008168          2 2020-08-08   \n",
       "..         ...          ...         ...         ...        ...        ...   \n",
       "924  685332320  12781785338    50018831    50014815          2 2021-06-01   \n",
       "925  389326420  17164967407    50006820          28          1 2022-09-16   \n",
       "926  359840716  17513925908    50013207    50008168          1 2021-03-18   \n",
       "927    1372572  16915013171    50008845          28          1 2021-03-27   \n",
       "928   54855720  39635136808    50018436    50014815          2 2022-09-13   \n",
       "\n",
       "     year  quarter  month   birthday  gender   age  \n",
       "0    2020        4     12 2019-01-05       1  1.94  \n",
       "1    2020        4     11 2019-06-20       1  1.43  \n",
       "2    2020        3      9 2018-10-08       1  1.93  \n",
       "3    2020        4     11 2020-03-27       0  0.68  \n",
       "4    2020        3      8 2018-08-25       0  1.96  \n",
       "..    ...      ...    ...        ...     ...   ...  \n",
       "924  2021        2      6 2020-02-23       0  1.27  \n",
       "925  2022        3      9 2021-07-17       0  1.17  \n",
       "926  2021        1      3 2017-01-20       0  4.16  \n",
       "927  2021        1      3 2020-01-30       1  1.16  \n",
       "928  2022        3      9 2021-01-28       0  1.62  \n",
       "\n",
       "[929 rows x 12 columns]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge['age'] = round(( df_merge['day'] - df_merge['birthday'] ) / pd.Timedelta(days = 365) , 2)\n",
    "df_merge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "4512698f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    929.000000\n",
       "mean       1.803240\n",
       "std        2.002231\n",
       "min       -2.090000\n",
       "25%        0.350000\n",
       "50%        1.240000\n",
       "75%        2.820000\n",
       "max       11.800000\n",
       "Name: age, dtype: float64"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge.age.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "349cc993",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    791.000000\n",
       "mean       2.186599\n",
       "std        1.920564\n",
       "min        0.020000\n",
       "25%        0.785000\n",
       "50%        1.640000\n",
       "75%        3.105000\n",
       "max       11.800000\n",
       "Name: age, dtype: float64"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge = df_merge[df_merge.age > 0]\n",
    "df_merge.age.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "1b274197",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算比例函数\n",
    "def compute_fraction(pct, allvals):\n",
    "    absolute = int(pct/100 * np.sum(allvals))\n",
    "    return '{:.2f}%\\n{:d}'.format(pct, absolute)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "961d7943",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gender_stats_by_user = df_merge.groupby(by = \"gender\")[\"user_id\"].count()\n",
    "#gender_stats_by_auction = df_merge.groupby(by = \"gender\")[\"auction_id\"].count()\n",
    "\n",
    "labels=['boy','girl']\n",
    "values=np.array([gender_stats_by_user[0], gender_stats_by_user[1]])\n",
    "\n",
    "fig=plt.figure()\n",
    "sub=fig.add_subplot(111)\n",
    "sub.pie(values, labels=labels, startangle=90, autopct=lambda x: compute_fraction(x,values))\n",
    "sub.legend()\n",
    "fig.suptitle('Gender Stats by User',fontsize=16)\n",
    "fig.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "41ac891b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender  category_1\n",
       "0       28            137\n",
       "        38            103\n",
       "        50008168      217\n",
       "        50014815      317\n",
       "        50022520       15\n",
       "        122650008      28\n",
       "1       28             98\n",
       "        38             41\n",
       "        50008168      183\n",
       "        50014815       87\n",
       "        50022520       15\n",
       "        122650008      23\n",
       "Name: buy_mount, dtype: int64"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gender_stats_by_buy_mount = df_merge.groupby(by = ['gender','category_1'])['buy_mount'].sum()\n",
    "\n",
    "gender_stats_by_buy_mount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "b029bec5",
   "metadata": {},
   "outputs": [],
   "source": [
    "category_1_list = [28, 38, 50008168, 50014815, 50022520, 122650008]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "ad56e6ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'Sales Volumn by Boy')"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 男孩的类别销量统计：\n",
    "values = np.array([gender_stats_by_buy_mount.loc[0, category] for category in category_1_list])\n",
    "\n",
    "fig=plt.figure()\n",
    "sub=fig.add_subplot(111)\n",
    "sub.pie(values, labels=category_1_list, startangle=90, autopct=lambda x: compute_fraction(x,values))\n",
    "fig.suptitle('Sales Volumn by Boy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "68f0cef8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'Sales Volumn by Girl')"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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C4Ug4CSGEcDgSTkIIIRyOhJMQQgiHI+EkhBDC4Ug4CSGEcDgSTkIIIRyOhJMQQgiHI+EkhBDC4Ug4CSGEcDgSTkKoZM2aNUyYMIGIiAg0Gg0///yzbZ/JZOLJJ5+kb9++eHp6EhERwS233EJ2dratTXp6OnfccQfx8fG4u7vTtWtXZsyYgdFotDuPoii8+eabdO/eHVdXVyIjI3n55Zdt+1etWoVGo2nwKzc31+44H374IXFxcbi5uTF06FA2b95st7+2tpZp06YRGBiIl5cX1157LXl5eXZtMjMzGT9+PB4eHoSEhPD4449jNpvt2nzzzTf0798fDw8PwsPDuf322ykqKjqrz1h0XBJOQqikqqqK/v378+GHHzbYV11dzbZt23juuefYtm0bP/74I6mpqVxxxRW2Nvv27cNqtfLJJ5+we/du3nnnHT7++GOeeeYZu2M99NBD/Pe//+XNN99k3759/PrrrwwZMqTBOVNTU8nJybH9CgkJse377rvveOSRR5gxYwbbtm2jf//+jBs3jvz8fFub6dOnM3/+fJKTk1m9ejXZ2dlcc801tv0Wi4Xx48djNBrZsGEDX3zxBbNnz+Zf//qXrc369eu55ZZbuOOOO9i9ezfJycls3ryZqVOnnt2HLDouRQihOkD56aefTtlm8+bNCqBkZGQ02eb1119X4uPjbT/v2bNH0ev1yr59+5p8zcqVKxVAKSkpabLNkCFDlGnTptl+tlgsSkREhPLqq68qiqIopaWliouLi5KcnGxrs3fvXgVQNm7cqCiKoixatEjRarVKbm6urc3MmTMVHx8fpa6uTlEURXnjjTeULl262J37vffeUyIjI5usTTgnuXISooMoKytDo9Hg5+d3yjYBAQG2n+fPn0+XLl1YsGAB8fHxxMXFceedd1JcXNzgtQMGDCA8PJwxY8awfv1623aj0cjWrVsZPXq0bZtWq2X06NFs3LgRgK1bt2IymezaJCYmEhMTY2uzceNG+vbtS2hoqK3NuHHjKC8vZ/fu3QAkJSVx5MgRFi1ahKIo5OXl8f3333PZZZc189MSHZ2EkxAdQG1tLU8++SQ33ngjPj4+jbY5ePAg77//Pnfffbdt26FDh8jIyCA5OZkvv/yS2bNns3XrVv7xj3/Y2oSHh/Pxxx/zww8/8MMPPxAdHc3IkSPZtm0bAIWFhVgsFrtQAQgNDbXdl8rNzcVgMDQIzpPbNHaMY/sARowYwTfffMPEiRMxGAyEhYXh6+vbaNencG56tQsQQpyayWTi+uuvR1EUZs6c2WibrKwsLrnkEq677jq7+zNWq5W6ujq+/PJLunfvDsDnn3/OoEGDSE1NpUePHrZfxwwfPpy0tDTeeecdvvrqq7Z9cyfZs2cPDz30EP/6178YN24cOTk5PP7449xzzz18/vnn7VqLUJdcOQnhwI4FU0ZGBkuXLm30qik7O5uLLrqI4cOH8+mnn9rtCw8PR6/X24IJoGfPnkD9yLmmDBkyhIMHDwIQFBSETqdrMPIuLy+PsLAwAMLCwjAajZSWlp6yTWPHOLYP4NVXX2XEiBE8/vjj9OvXj3HjxvHRRx/xv//9j5ycnCbrFc5HwkkIB3UsmA4cOMCyZcsIDAxs0CYrK4uRI0cyaNAgZs2ahVZr/1d6xIgRmM1m0tLSbNv2798PQGxsbJPnTklJITw8HACDwcCgQYNYvny5bb/VamX58uUkJSUBMGjQIFxcXOzapKamkpmZaWuTlJTEzp077Ub4HQvcXr16AfWjFE9+DzqdDqgfEi86EZUHZAjRaVVUVCjbt29Xtm/frgDK22+/rWzfvl3JyMhQjEajcsUVVyhRUVFKSkqKkpOTY/t1bGTb0aNHlYSEBGXUqFHK0aNH7docY7FYlIEDByoXXHCBsm3bNuXPP/9Uhg4dqowZM8bW5p133lF+/vln5cCBA8rOnTuVhx56SNFqtcqyZctsbebOnau4uroqs2fPVvbs2aPcddddip+fn93Iu3vuuUeJiYlRVqxYofz5559KUlKSkpSUZNtvNpuVPn36KGPHjlVSUlKU3377TQkODlaefvppW5tZs2Yper1e+eijj5S0tDRl3bp1yrnnnqsMGTKkTf4fCMcl4SSESo4N4T7515QpU5TDhw83ug9QVq5cqShK/Rd5U21OlJWVpVxzzTWKl5eXEhoaqtx6661KUVGRbf9rr72mdO3aVXFzc1MCAgKUkSNHKitWrGhQ7/vvv6/ExMQoBoNBGTJkiLJp0ya7/TU1Ncp9992n+Pv7Kx4eHsrVV19tF5SKoijp6enKpZdeqri7uytBQUHKo48+qphMJrs27733ntKrVy/F3d1dCQ8PVyZNmqQcPXq0JR+16IA0iiLXykIIIRyL3HMSQgjhcCSchBBCOBwJJyFEo55//vkGk8EmJiba9rfGRK8//vgjY8aMITg4GB8fH5KSkliyZIndMV599VUGDx6Mt7c3ISEhXHXVVaSmptq1GTlyZINa77nnHtv+HTt2cOONNxIdHY27uzs9e/bk3XffbfCeV61axcCBA3F1dSUhIYHZs2e35CMULSDhJIRoUu/eve0mg123bp1tX2tM9LpmzRrGjBnDokWL2Lp1KxdddBETJkxg+/bttjarV69m2rRpbNq0iaVLl2IymRg7dixVVVV2tU6dOtWu1tdff922b+vWrYSEhPD111+ze/du/vnPf/L000/zwQcf2NocPnyY8ePHc9FFF5GSksLDDz/MnXfe2SAsRTtRe0SGEMIxzZgxQ+nfv3+j+1protfG9OrVS3nhhRea3J+fn68AyurVq23bLrzwQuWhhx46w3dW77777lMuuugi289PPPGE0rt3b7s2EydOVMaNG9es44rWIVdOQogmHThwgIiICLp06cKkSZNss0q01kSvJ7NarVRUVNhNXnuysrIygAZtvvnmG4KCgujTpw9PP/001dXVp3xvJ0+Su3HjRrv3c6zeY+9HtC+ZW08I0aihQ4cye/ZsevToQU5ODi+88ALnn38+u3btarWJXk/25ptvUllZyfXXX9/ofqvVysMPP8yIESPo06ePbftNN91EbGwsERER/PXXXzz55JOkpqby448/NnqcDRs28N1337Fw4ULbtqbqLS8vp6amBnd390aPJdqGhJNwSrUmCwUVdRRVGSmqrKOwso7CSiNlNSaMZitWRcFsVbBY6v8boaumV84GNDodWq0WrU6HRqtFq9Pj6uGBu48v7t4+ePj44u7jW/9fbx+0f0+t44wuvfRS2+/79evH0KFDiY2NZd68eW3yRT1nzhxeeOEFfvnlF7uFDk80bdo0du3aZXfvC+Cuu+6y/b5v376Eh4czatQo0tLS6Nq1q13bXbt2ceWVVzJjxgzGjh3b6u9DtA4JJ9HhlNWYSM2tYH9eBblltRRV1VFQYaSoqo6iyvowqjJamnXMYb7VkLKy2bW4enr+HVS+uPvUh5dvSBj+EZH4h0fiHxaB3mBo9nEdkZ+fH927d+fgwYOMGTPGNtHriVdPJ0/0evJS7idP9HrM3LlzufPOO0lOTm7QtXbM/fffz4IFC1izZg1RUVGnrHXo0KFA/TIiJ4bTnj17GDVqFHfddRfPPvus3WuampjWx8dHrppUIOEkHFatycLB/EpbEO3LrSA1t4Lc8lq1S7Opq6qirqqKkpzsRvdrNFq8g4LwD48kKDqWoJg4gmPiCIiKxsXg2s7VtkxlZSVpaWlMnjzZbqLXa6+9Fmh8oteXX36Z/Px825XQyRO9Anz77bfcfvvtzJ07l/Hjxzc4r6IoPPDAA/z000+sWrWK+Pj409aakpICYJu8FmD37t1cfPHFTJkyhZdffrnBa5KSkli0aJHdtqVLl9rej2hfMn2RcAgFFXVszSghNbeC1Lxy9uVWkFFUjcXaPn88h/lWMzjli3Y5F4BGq8UvLIKQ2HgiE3sR3asvgdGxaDSadqvhdB577DEmTJhAbGws2dnZzJgxg5SUFPbs2UNwcDD33nsvixYtYvbs2fj4+PDAAw8A9fdzoH4o+YABA4iIiOD1118nNzeXyZMnc+edd/LKK68A9V15U6ZM4d1337Ubhu7u7o6vry8A9913H3PmzOGXX36xW3fK19cXd3d30tLSmDNnDpdddhmBgYH89ddfTJ8+naioKFavXg3Ud+VdfPHFjBs3jjfeeMN2DJ1OR3BwMFA/lLxPnz5MmzaN22+/nRUrVvDggw+ycOFCxo0b14aftGiMhJNQRVWdmT8OF7HuQBHrDxaSmlehaj3tHU6Ncff2ITKxN9G9+xLVsw/BsfGqhtUNN9zAmjVrKCoqIjg4mPPOO4+XX37Z1k1WW1vLo48+yrfffktdXZ1t7aUTu+wyMjK49957WbVqFZ6enkyZMoV///vf6PX1nTYjR460BciJpkyZYnsAtqnPYNasWdx6660cOXKEm2++mV27dlFVVUV0dDRXX301zz77rG39q+eff54XXnihwTFiY2NJT0+3/bxq1SqmT5/Onj17iIqK4rnnnuPWW289m49PtJCEk2gXJouVlCOlrDtQyPqDhew4WorJ4jh/9BwhnE7m5uVdH1a9+hDVsw8hcV3QaOXpD9E5SDiJNrMvt9wWRpsPFzd7kEJ7csRwOpmrpyexfQaQMCSJLgOH4OrhoXZJQrQZCSfRqg7mV/LT9qP8kpLN0ZIatcs5Yx0hnE6k0+uJ6dOfbkNH0PXcoXj4+KpdkhCtSsJJtFh+RS2/pmTzc0oWu7LK1S7nrHS0cDpRdO/zcPUZR7fBoXQ9JxhXDxe1SxKixWQouTgrVXVmftuVy88pWWxIK2q3UXWiIYvSlaP7Sji6r4TV36YS2zuQXiMiiOkTiFbrOKP/hGgOCSdxxswWK2sPFPLT9iyW7smjxuS495A6CzcvH0pyj88PZzUrHN5RyOEdhXj5u5KYFE7PEeH4BMpDpKJjkXASp5VfUcvs9enM+/MIhZVGtcsRJwiK6UdhTuNXR5Uldfy5KJ2ti9OJ7hVAr/MiiOsXhE4nI/6E45NwEk06mF/JZ2sO8VNKFkazVe1yRCOsSsJp2ygKZO4uJnN3MR4+BvpcGEmfCyNx93KOaZWEc5IBEaKBLenFfLL6EMv35dFZ/nR0xAER7t4+KC53gNL8+0p6Fy3dh4YxYHQ0/mGebVCdEC0jV04CAKtV4fc9eXy6Jo1tmaVqlyPOQGB0/ya79E7HbLKyZ102e9ZnE98viEGXxBEa79PKFQpx9iScOrlak4Ufth3l87WHOVRYdfoXCIdhUbqevtHpKNgGUET28GPI5V2I6ObX8uMK0UISTp1UrcnC5+sOM2v9YRnk0AG5e/tSkuffqsfMSi3lp9RtxPQOYNiVXQmO8W7V4wvRHDJspxleffVVBg8ejLe3NyEhIVx11VWkpqbatTk283JYWBienp4MHDiQH374QaWKG1IUhZ+3Z3Hxm6t4Y0mqBFMHFRTT/6zuNZ2JzN3FzHt1C799spPiHLmaFuqQcGqG1atXM23aNDZt2sTSpUsxmUyMHTuWqqrjf4FvueUWUlNT+fXXX9m5cyfXXHMN119/Pdu3b1ex8npbM0q4+qMNPPxdCtlljrMmkmg+i7VL255AgbTtBcx9aTPLZ++hvLDjTEUlnIOM1muBgoICQkJCWL16NRdccAEAXl5ezJw5k8mTJ9vaBQYG8tprr3HnnXeqUmdWaQ3/XryP+TsaXxBPdKzReu4+fij629rsyqkxWr2G/hdHc+5lcRjc5G6AaHty5dQCZWVlAAQEHH9Cf/jw4Xz33XcUFxdjtVqZO3cutbW1jBw5st3rq6oz88aSfVz85ioJJicSGN2vXYMJ6mee2P57Jt/M2MTeDTntem7ROUk4nSWr1crDDz/MiBEj6NOnj237vHnzMJlMBAYG4urqyt13381PP/1EQsLpH5ZsvdoU5m05wsg3V/HhyjTq5AFap2KxtMIovbNUXWZk79JU0m+4kdq9e1WrQzg/uT4/S9OmTWPXrl2sW7fObvtzzz1HaWkpy5YtIygoiJ9//pnrr7+etWvX0rdv3zav649DRby4YA+7szvm7ODi1Dx8/CjJ81Pt/Fqthq7b/0fNvhQO/+M6/G+6ieCHHkTn5aVaTcI5yT2ns3D//ffzyy+/sGbNGuLj423b09LSSEhIYNeuXfTu3du2ffTo0SQkJPDxxx+3WU01RguvLt7LV5syOs2sDq2po9xziu59IQXZg1Q7f/ewcqLmPm23TR8cTMiTT+J7+XiVqhLOSLr1mkFRFO6//35++uknVqxYYRdMANXV1QBoT1pKW6fTYbW2Xdfa9swSxr+3li83SjA5O7OljUfpnYK7l56IRW822G4uKCD7scc4cv/9mEtKVKhMOCMJp2aYNm0aX3/9NXPmzMHb25vc3Fxyc3OpqakfZpuYmEhCQgJ33303mzdvJi0tjbfeeoulS5dy1VVXtXo9JouVN5ek8o+PN8rsDp2Ah6+/ql16PS0paMuLmtxfuWw5h664gso1a9qxKuGspFuvGTSaxkdIzZo1i1tvvRWAAwcO8NRTT7Fu3ToqKytJSEjgsccesxta3hr251Uw/bsUubfUSjpCt150n5EUZA1U5dzBoTr6zLsXzRl+XfjdeAOhTz6J1s2tjSsTzkrCqYOxWhX+u+4Qb/6+X5axaEUdIZzCE29X5cpJo4Hhxcm47ljVrNcZ4uOJeP113Pv2OX1jIU4i3XodyJHiam74dBOvLNonwdTJePgFUJLnq8q5u4bXNDuYAIyHD5N+000UzpyJYpFVk0XzSDh1EN9uzuSS/6xhc3qx2qUIFQRG9QPa98FbAFd3HZG/v3P2BzCZKHj3PTJunozxyJHWK0w4PQknB1dtNDNtzjae/nEnVUb512dnZTapM0qvp2E/usKsFh+nZvt2Dl91NWULF7ZCVaIzkHByYBlFVVzz0QYW/iXTxXRmnn4BFOe3f5deQJAe/wXvtdrxrFVVZD/6GPlvv4Pc6hanI+HkoFbvL+CKD9azL7dC7VKEygKi+qNRoUuvR+YvaCzmVj9u0aefcnTa/Vgq5fEH0TQJJwf00aqD3DZrM2U1JrVLEQ7ApEKXXlyEGffNi9rs+JUrVpBx4w1yH0o0ScLJgdSZLTz47XZe/y0Vq/R6CMDTP5CSfJ92PaeLq5bYlf9p8/PUHThI+nXXU7XpjzY/l+h4JJwcRGFlHTd+uolfZWkLcYKAyPbv0kv0zESXc7hdzmUpLSXzzjsp/uabdjmf6DgknBzA/rwKrvpwPdsyS9UuRTgYkyn+9I1akW+AC4EL3m7Xc2I2k/fS/5Ez43kUk3Rli3oSTipbvb+Aaz/awNESWQZb2PP0D2r3Lr3E/CVojXXtes5jSr/7jszbbsdSLlNyCQknVf247Sh3zN5CRV3rj4gSHV9AZL927dKLjlDwXPdDu52vMdV//knGlFsxF8vD5p2dhJNK5v15hMeSd2CWkQ+iCe3Zpadz0RK//qN2O9+p1O3dS8bkWzDl56tdilCRhJMK5vyRyZM//CUj8kSTvAKCKG3HB297+OWhz9jTbuc7HWNaGhk3T8aU1fLZKUTHJOHUzr7amM4/f94piwKKU/KP6N9u5/Ly1ROyoOEigmozZWaSPnkyxowMtUsRKpBwakefrzvMc7/slmASp2U0tl+XXs/K9WhrKtvtfM1hzs4h4+bJ1B08qHYpop1JOLWTT1an8dICx+k2EY7LKyCYsoL2GaUXHq7Be/mX7XKus2UuKCBj8i3U7pG/P52JhFM7+HDlQV5dvE/tMkQH4R/Zr13Oo9Vp6Lr1f+1yrpaylJSQcett1KSkqF2KaCcSTm3sP8v288aSVLXLEB2Isa59uvS6B5di2P9nu5yrNVjLy8m8/Q6qt29XuxTRDiSc2tBbv6fyn2UH1C5DdCBege3TpefhrSdsoeMNgjgda3U1R++9j7pD7TO9klCPXu0CnNWHKw/y/gq5ietoStd9Q9n6b+226QOi4LHGp+zJLatgya79HC0po6S6hisG9OKC7vZXNkt27WfpHvt/hAR7e/LkpSNtP/+asoct6Ucx6HSM75fIwNhI274dR3L4M/0od5w/GP+I/hQcbeGbPAM9TVvRVnTMB10tpaUcufNOYud+i0tIiNrliDYi4dQGft2RzZu/S1eeo3IJiiF04svHN2ib7kAwWiwEeHnQLzqcX1OaviEf6uPF3RcOtf2sO+GYu7Pz2J6ZzV0XDKGwsorvtvxFj7BgPF0N1BhNLN6Zanutsbbtu/RCQnX4fvdpm5+nLZmyszly193Efv0VOi8vtcsRbUC69VrZ1oxiHk/eIcPFHZlWh87L//gvj6Yfdo0J8GNC/56cExOB/hQhptNq8XF3s/3ydDXY9uWXV9I1OIDoAD/OiYnETa+nqKoagIV/7WN41xj8Pd3xDgyhrNC79d5nIzQa6LbHOWYAr9u3j6PT7kcxGtUuRbQBuXJqRRlFVUz9cit1ZqvapYhTMJdkc/TDW9DoXDBEJuJ/4RTwbdm/vgsqqnjx12XodVpiA/25rG8i/p7uAET4+bDpUCbVRhPFldWYLFaCvDw5XFDM0ZIyrhnYB6h/8Da/jbv0EsKrcV25tm1P0o6q//iD7KeeIuKtt9Bo2n+1YNF2JJxaSVm1idtmb6G4Sv4V58hcw3sQeNl0XAIisVQWU7b+W3K/eRLT9LMfHBAT6McNQ/oT7O1JRW0dv+/ez4crN/LYuAtwc9HTIyyYgTGRvLtsHS46HTcM6Y9Bp+OHbbu4YXB/NqRlsP5gOn4b0rg+6XHCA+Ja7w2fwM1DR+Rvb7XJsdVUvmgxuqAgwp55Ru1SRCuScGoFJouVu7/+k0MFVWqXIk7Dveu5x38Iicc1ogdHZ97OkZ0bz/pvQ89w+5vyMQF+vLxwBTuOZDO0SwwA4/p0Z1yf7rY2v+/eT7eQILRaDcv3HuT5G69h26Eovlz5b5689uOzK+Q0EnX70Bbntsmx1Vby5Ve4hIYSeMcdapciWoncc2oFT/2wk02HOubIp85O6+aFS0AklUWt96XtbnAhyMuTosrqRvfnl1eyLSOLS/p0Jy2/iPigAKK7DGVg1ws5UniAWmPjr2uJwGA9/gvfb/XjOpL8N9+ibP58tcsQrUSunFro/eUH+GFbO4z9FW3CaqzBXJqDm/cIoKBFx9pwMIONaRkUVVZjtFioqjMSHxxgd2WlKArfb93JhAG92J9XwKrUQ1TU1nHzi08S6BVeX5Nif88ytySDn//4jIM5f2G1Wgjzj+XOMTMI8A4F4IcNH/HH/t8x6N24cuidDO422vbabWmr2Xzgd74cMQSN1dKi9+fwFIWcZ5/DNSEBt5491a5GtJBcObXALylZvL1sv9pliGYoWfE5tZk7MZflUXt0LwU/vgwaLTH9zgPg2z9SWPTX8ammzBYrWSVlZJWUYbFaKaupJaukjMKK412481P2kJZfhFarYVBcJOF+Pri7uNAnMpTZ6/8kt6zC1vaPQ0fwdDXQOyIUd4OBEQlxuOh1TL7wKfw8gwBIz99ra19Qls3bvzxEmF80D014i6f/8RmXDLwZF339aMCd6Rv48+AKpo1/jauG3cWc1W9RWVMGQE1dJfO3fM6j19yL29bf2+5DdSBKXR1HH3oYS0XF6RsLhyZXTmdpa0Yxj3//lwwZ72DMFYUUzn8DS005OndfXKN6ETb5Ldy86mdlKKmusRv1VV5byztL19l+Xp16iNWph+gSHMB9FyUBUFZTyzebtlNlNOHlaiA+yJ8bh/YnyMuTPzOyyCgqIczXm4raOpbvPcj9o4YDkBASSEJIIJ7B8Xy79m283f0J8Y3iUO4uekUPBmD+ls/pHTOUq4bdbash2DfC9vvc0ky6RfQnNrgHscE9+GHDhxRV5ODl7svPf3zKyH5XMWi7/UPHzs6UmUn2008T/cEHapciWkDC6SyUVhu5f852jDJkvMMJvvLJJvbU3+c5FjjHBHh68Ob14095zJuTBjbYZrUqbM/Mxmi2EBvoD4C3myv/vPziBm0vH3YPFyQ8yv6s7Xyy5Dm6hvetP4ZiZXfmH4zuP5EPFj7J0cKDBPqEMXbAjfSPr7/Siwzsyvq9C6muq6CwPAeT2UiwbyRpOTs5UniQ/5twDfpflp+yfmdUuWw5RZ9/LgMkOjAJp7Pw1A87ySmrVbsM4YBySst5f8UGzBYrBr2OW0cMIsy36Qdr9T6BTH19ImarCa1Gy8TzHqJnVP2IwsqaUupMNSxNmcvlg2/jqqFT2XNkC//9/XkenPAW3SL60yt6MIO7jeb1H+/DRe/K5IuexKB3Y+66d7nvymdY+uVzzCkqxF+n4/mwMLq5urbXR6G6/Hf+g3v//nice+7pGwuHI+HUTHP+yOS33c45HFe0XLC3F4+MOZ9ak5m/juYwd/MO7h05rMmACos+h6f/MZo6Uw2pWdv4ceNMAn3C6R4xwDYwom/ccC7u9w8AooISOJS3m3V75tPt79Vyx587hfHnTrEdc9GfX5IYOZCE4o3cX5DHL3HxrKqq5OmcbL6Pa79FDFVnNpM1/RHif/oRfVCQ2tWIZpIBEc1wML9CFgwUp6TXaQny9iQqwJfL+iUS4evNugPpTbY31nYh2DeSqKAERvW/ngFdLuD3v+8Rebn5otXqCPePtXtNmF8MJZX5jR4vtySTLQeWcc+EKfy1cQHnengQoNdzibcPe+rqqHL2EXsnMRcUkPXIoyiWzvW+nYGE0xmqM1t48NsUakzyh1ycOStgtjZ+b9I3JILyYvtpkxRFwWwxAaDXuRAb3IO80iN2bfLLjuL/9zDyk187d+07XHfBfSRu+RyrAua/R+wc+6+lEw7gqd68mYL/vKt2GaKZJJzO0GuLU9mTU652GcKBLfprH2kFRRRXVZNTWs6iv/ZxKL+IgTH1o+tOHqa+IjWHvUf/pLA8m9ySDJbvmMfmA0sZ0m2Urc3o/hPZlraK9XsXUlCWxepdP7MrYyMX9Lqiwfk37FuEl5sv1w2IxyUzlXPc3fmjupodNTV8UVJMV4MBH52u7T8IB1T03/9SsWqV2mWIZtAoigyGPp1VqfncNnuLDBt3YsN8qxmc8kWj+5bvPcjOo7kUVFSi1+mIC/RnfL9EQnzqr3qq64ws2b2frRlZ1JrMQH33Xoy/L6N7daN7WDAAH63cSICnBzcMqb9XtOaoBxt3baC0qgAXvSuhftGM7HMNgxIusjv/xn2L+X37t5RWFRDiF834c6fQL26EXZvy6mLe/Ol+/nXLTEavfxltbf1zWB8VFvJVSTGBej2vhIXTz9299T60DkYfHEyXBfPR+TY9C71wHBJOp1FYWccl/1lLYWWd2qWINnSqcPpszWYGRIcTHeCHVVFYtHMfuWWVPH7JBbjq9eSUVfD7rv2cGx9FqI8XJVU1/LB1F+F+3kwZPqjRY/qGRlBnvKHV38cQzQa8VjrHkhhtwffqq4l49RW1yxBnQLr1TkFRFB5L3iHB1MlNvWAIg+OjCfP1JsLPhxsG96e0uoajJfUzMYT7ejNlxCB6R4QS5OVJt9AgLu3bgz3Z+Viaut8U2q/V64wM10gwnUbZTz9RuXbd6RsK1clQ8lOYtT6dVaktm2+tPZRtnEf1/o2Yio+i0RtwjeyJ/4W34hIYZWtTkfIbVXtWYcxLQzHWEP3QXLRup17DyFpXTenar6k+sBFrdRmGkC74j74L1/D62bUVi5nStV9Rk/Yn5rJctK6euMX2x+/CW9F7B9a3MZso+u09qg9sQufpT8DY+3CPG3C89j9+wFJeQMCYe1r/g2kjx7ruPAyGU7Qx4eait1sR90Q1VbGNbj9bWp2GLps79uq27SV3xgy6zP8Vraen2qWIU5ArpyZkFlXz2m/7Tt/QAdQe2YX3wPGE3fwmoRNfAouZvHnPYTUef1BYMdXh3mUQvknXn/Fxi357n9r0FIIuf5Tw2z/ALf4c8uY+i7misP6Y5jqMuWn4Dr+B8CnvEnzVM5iKsyj48SXbMSp2/IYx9yBhN7+JV/9LKJz/Bsd6kk2luVTuWILfBbe00ifR9qyKwi8pe4gL8ie8iWeXquqMLN1zkGFdohvd7xsaSUVx634xdg8qxiUtpVWP6axM2dnkv/W22mWI05BwasIL83d3mBVtQ69/Ea++ozEEx2II6ULg+OlYygsw5h20tfEZfCW+w67DNaLHGR3TaqqjOnU9fhfdhlt0H1z8I/A7bxIu/uFUbF8MgNbVk9Ab/g/PnufjEhiFa2QiAWPuwZh7EHN5/XM4pqIjuCcMxRAci/fA8Viry7DW1I96LP79I/xH3orW1aOVP5G289O2XeSWVXDzsHMa3V9rMvHftVsI9fFibO/ujbbxDe3bqjV5+ugJW3j2iyV2RiXffkv1n3+qXYY4BQmnRqzYl8fyfY0/5NgRWOvqR2qdrtvu1AexgGJFo3Ox26zRu1J3dPcpzl0NaNC61p/bEBJP3dE9WE111B7ehs4rAK27D5W7V6LRG/DoPvzsa2xnP27bxZ7sfO4ZOQw/j4aj3mpNZj5bsxm3v6ctaqpLr7qydbv0etZtQVtZ2qrHdHqKQs4/n8VaK9OQOSoJp5PUmS28ML/jzgKhKFZKln+Ga2QvDMFxZ30crasHrhGJlG2Yi7miCMVqoXL3Suqy92GpKmn83GYjpatm4dHrAtvVkFffMbiExJP9+X2UbZxH0JVPYq2tpGzdNwSMvpuSNV+R9clU8r57ztZd6GgUReHHbbvYlZXLPSOHEejV8Eqv1mTiszV/oNNque28wbg08TyRX2gUlSXHu/QOZv/Fx4v/yTNfXc/9n4xix+Gmb9Z/u+Yd7v9kFCv/+sG2LTRMh8+S/7bg3XVexowMCt537gUYOzIJp5N8svoQGUWtvxJpeyn+fSbGggyCrniixccKvPxRALI+mkLmm1dTsfVXPHteAGgatFUsZgp++Xf968ZOs23X6PQEjr2XqHs+J3zKO7hF9aZkxed4D5qAMe8QNQc2En7b+7hGJFKyzDFv6P+4bRfbMrKYNPQcXPU6ymtqKa+pxWSuny2k1mTi09WbMZotXD+4H7Umk62N1Wr/pIbPSV16deYaIgO7MvG8B09Zw47D60jP34uvR6Btm0YLCTu/bKV32TkVz/6Cmp271C5DNEJG653gaEk1H606ePqGDqp46Uxq0rYQetO/0fu0fKJLF/9wwm76N1ZjLVZjNXqvAAp+eQ0XvzC7dseCyVyWT+iNr5zyHlJtxl+YijIIvPQBSlb+D/cu56I1uOGReB55cxa0uOa2sDEtE4CZqzbZbZ84uB+D46M5WlJOZnEpAP9etMquzTPjLyLA8/jnUX3SKL3eMUPpHTP0lOcvrSogef37TLvsNWYufsa2PSG0EtcVG5r7dsSJLBZyZ8wg7ofv7dbxEuqTcDrBSwv2UGvqGIMgTqQoCiXLPqZ6/0ZCb3y1QXi0lNbghtbghqW2kprD2/Afedvxcx8LppJsQm98FZ27T9N1mo0UL51J0ITH0Gh1oFixrUhutaAojvnZn249p4SQwNO2AfALi6KyuHmDP6yKlS9X/JtR/a8nPCDOtt3NU0/Eb28161iicbV79lC+YAG+EyaoXYo4gXTr/W31/gKW7M5Tu4yzUrx0JpW7VxE04XG0Bg8slSVYKkuwmo4/PGypLMGYdwhTSQ4AxoJ0jHmHsNQcX846b+4zlG+db/u55tBWag5txVSaS83h7eR9+zQuAVF49R0N/B1MP7+KMfcgQRMeA6vVdm7l78lLT1S6YS7uXc7FENoVANfIXlTv34Ax/zAV2xbgFtmzTT4fR+ET0vxRektT5qLV6hjZ5xq77T01u9CVdNxBO46m4J3/YDUa1S5DnECunACj2coLvzY9As3RVW5fBEDet0/bbQ+87GFbkFSkLKJs/fHluvPmPNWgjakkF9ea45PbWuuqKV3zBeaKQnRu3nj0GI7fBbeg0dX/sbFUFlFz8A8AcmbZ3zMJvfEV3GKOz4JgLEinet9awm89fgPaI3EEtUd2kvvNk7gERhI04fGWfRAOrqaZo/QyC/azauePPHntx3ZdTp7eWvwWfdTa5XVqpuxsSr76SlbOdSAytx7w0aqDvP5bqtplCBWdam691uAfHkNN7T9O2eb+T0YxdewLtiXYV/71Az9unGkXTFbFilajIUynY1nXhDartzPS+viQ8PsSdH5+rXbM559/nhdeeMFuW48ePdi3r/4B/9raWh599FHmzp1LXV0d48aN46OPPiI09PiSKJmZmdx7772sXLkSLy8vpkyZwquvvopeX/+PxJycHB599FH+/PNPDh48yIMPPsh//vOfJmuaO3cuN954I1deeSU///yzbXtlZSVPPfUUP//8M0VFRcTHx/Pggw9yzz3HZ2/59NNPmTNnDtu2baOiooKSkhL8Tvq84uLiyMjIsNv26quv8tRTTzXno5Mrp5yyGj5Y0XEHQYiOwTu4DzVHTt/uRIO7j6ZH1EC7bZ/89iRXuyhcLTNrtzpreTmFMz8m9OnmfYmeTu/evVm2bJnt52OhAjB9+nQWLlxIcnIyvr6+3H///VxzzTWsX78eAIvFwvjx4wkLC2PDhg3k5ORwyy234OLiwiuv1E9gW1dXR3BwMM8++yzvvPPOKWtJT0/nscce4/zzz2+w75FHHmHFihV8/fXXxMXF8fvvv3PfffcRERHBFVfUL9FSXV3NJZdcwiWXXMLTTz/d4BjHvPjii0ydOtX2s7d347OpnEqnD6f3lh+g2igLCIq2VV3ReJdenamGgrIs289FFbkcLTyIh6s3Ad6heLkdDyGDmw5XYxVBbj7EG1zbvObOqGTOHPwn34whKur0jc+QXq8nLKzhIKWysjI+//xz5syZw8UXXwzArFmz6NmzJ5s2bWLYsGH8/vvv7Nmzh2XLlhEaGsqAAQN46aWXePLJJ3n++ecxGAzExcXx7rv1iyn+73//a7IOi8XCpEmTeOGFF1i7di2lpaV2+zds2MCUKVMYOXIkAHfddReffPIJmzdvtoXTww8/DMCq06yN5e3t3eh7bo5OPSAiu7SGH7Zmnb6hEC3gHx5DZWnj6yhlFKTy7x/u5t8/3A3Ajxtn8u8f7mbhn7MbtE10SwOLuS1L7fQUk4mCt0999dFcBw4cICIigi5dujBp0iQyM+sfTdi6dSsmk4nRo0fb2iYmJhITE8PGjRsB2LhxI3379rXr5hs3bhzl5eXs3t28++QvvvgiISEh3NHEfbXhw4fz66+/kpWVhaIorFy5kv379zN27NjmvmX+/e9/ExgYyDnnnMMbb7yB2dz8P7ed+srpk9VpGC2OOXxZOA/v4L5Ndul1jxjAB3cvP+0x/AP1BPzyrtxnagflixcTcNutuPdt+RyIQ4cOZfbs2fTo0YOcnBxeeOEFzj//fHbt2kVubi4Gg6HBPZvQ0FByc3MByM3NtQumY/uP7TtT69at4/PPPyclJaXJNu+//z533XUXUVFR6PV6tFotn332GRdccMEZnwfgwQcfZODAgQQEBLBhwwaefvppcnJyePvt5k2222nDqaCijrlbmnkTQIizUF0Z0+Jj9MhagNYsQ53bhaKQ//obxH7V8tk3Lr30Utvv+/Xrx9ChQ4mNjWXevHm4t9OqxBUVFUyePJnPPvuMoKCmH85///332bRpE7/++iuxsbGsWbOGadOmERERYXd1dzqPPPKI7ff9+vXDYDBw99138+qrr+Lqeubd0Z02nD5be6jDzDreXk63flPGa5c3+jq/kbfhO/Ta9iy1w/CPiKWypGVfQrERFjzmzD99Q9FqqrdsoWrDBjyHt+7ExH5+fnTv3p2DBw8yZswYjEYjpaWldldPeXl5tvs1YWFhbN682e4YeXl5tn1nIi0tjfT0dCac8JCx9e9FMPV6PampqURERPDMM8/w008/MX58/QPl/fr1IyUlhTfffLNZ4XSyoUOHYjabSU9Pp0ePM1sVATrpPaeSKiNfb8o4fcNO5nTrN0VN+8ruV+ClDwEaPHqMULdwB+Yd1KdFr9cbtMSukclJ1VD42WetfszKykrS0tIIDw9n0KBBuLi4sHz58W7d1NRUMjMzSUpKAiApKYmdO3eSn3/8geulS5fi4+NDr169zuiciYmJ7Ny5k5SUFNuvK664gosuuoiUlBSio6MxmUyYTCa0J82kr9PpbEF2tlJSUtBqtYSEhDTrdZ3yyunzdYdlhN5Jjq3fFHztc7hF13+h+p03iZqDm6nYvhj/Cyaj8/K3e031wT9wi+3b6tMlOZOq8pZ16SV6Z6E/eqCVqhHNUb1xEzU7d+He9+z/gfHYY48xYcIEYmNjyc7OZsaMGeh0Om688UZ8fX254447eOSRRwgICMDHx4cHHniApKQkhg0bBsDYsWPp1asXkydP5vXXXyc3N5dnn32WadOm2XWRHbuXVFlZSUFBASkpKRgMBnr16oWbmxt9+ti/h2NXase2GwwGLrzwQh5//HHc3d2JjY1l9erVfPnll3b3inJzc8nNzeXgwfrHb3bu3Im3tzcxMTEEBASwceNG/vjjDy666CK8vb3ZuHEj06dP5+abb8bf3/7743Q6XTiV15r4YmO62mU4nmau32SpKqEmbQtB46e3V4UdTkBkHFVlZ9+l5+PvQvB8WURQTUWffUbUe++e9euPHj3KjTfeSFFREcHBwZx33nls2rSJ4OBgAN555x20Wi3XXnut3UO4x+h0OhYsWMC9995LUlISnp6eTJkyhRdffNHuPOecc3zxy61btzJnzhxiY2NJT08/41rnzp3L008/zaRJkyguLiY2NpaXX37Z7iHcjz/+2O6h4mODJWbNmsWtt96Kq6src+fO5fnnn6euro74+HimT59udx/qTHW6GSLeX36At5buV7sMh5T71WOg0xM04XF0nn5U7V1D0cJ30PuHEzn1E7u2ZX98T/mm74ma9iUavUGliltPW8wQEdPvcvKPNL4a7pkYoqzBa/V3rViRaDatli4LF+AaH692JZ1Op7rnVFVn5n/rD6tdhsNqzvpNlX8tw7PXSKcIprZS2YIuvagIJJgcgdVK8azZalfRKXWqbr2vN2VQUt1wtmxR70zXb6o9sgtz8VG8rmz5gobOKiAyjuoyt7N6rU6vIX7Tx61ckThbZb/+Ssgj01t1zj1xep3myslssfLfdXLVdCa0Bjf0XgG29Zvcuw2z21/511IMYQkYQrqoVKHj82rBKL3ugYW4HPqrFasRLaHU1lLy3Ty1y+h0Ok04Ld+XT0FF3ekbdmKnW78J6p+Fqk5dh1e/5k9p0plUlUWf1es8ffSELpBBEI6mZM4clLOYgkecvU7TrZf8p8wGcTqnW78JoGrvGlDAs9eFKlbq2AIi4896lF7Pmk1oq8pP31C0K3NeHuW/LcH38tOveCxaR6cIp/yKWlalFqhdhsPz7Hk+nj0bTqV/Iu8Bl+A94JJ2qqhj8grsQ3V1818XHq7F59tZrV+QaBUl33wj4dSOOkW33g9bszBbO9WIeaGiyrPo0tNqNXRNmd36xYhWU7N9O8ZmPDckWqZThFPyVunSE+0jMKoL1eXNH6WXEFKOYe8fbVCRaE1lv8och+3F6cPpz/RiDhVUqV2G6CQ8A5o/Ss/dU0/EYhkE0RGUzZdwai9OH07zZCCEaEeVpc3v0uup7EBbVtgG1YjWZjpyhOpt29Quo1Nw6nCqNppZ+FeO2mWITiIwuivVFc1bPj04VIfv4pltVJFoC2W//Kp2CZ2CU4fTgr9yqJLZx0U78fTv3az2Gg10S/0OTTtNb/lndTX3HT3ChQcP0it1H8sqKuz2F5rNPJOTzYUHDzJwfyp3HTlCuvHMFzhcVF5Or9R93J91tMG+tLo6ph09ypAD+xm0P5XrM9LJNh2freW1/DyGHdjPxWkHmV9eZvfa3yrKue+o4/SAlP/2G9ZmfC7i7Dh1OM2TlW5FO6oojWpW+y7htbilrGyjahqqtlrp4erGcyct+w2gKAoPZB3liMnEB5GR/BAXR7iLC3ccyaT6DNbzyTIZeaMgn0GNrO6aaTRyc2YG8QYDs6Nj+CkunnsCA3HV1M/ZuLKyggXl5fw3OppHg0P4V24uJX8/8FphsfBuQQHPhjrOsizWsjIqV61Suwyn57ThdKigkj8zStQuQ3QSgdFdqak481F6ru46on5/+/QNW9EFXl48FBzMaG/vBvsyTCZ21Nbyr9Aw+rq7E29wZUZoKHWKwqLyUz8UbFEUnsjO4f7AIKJdXBrsf7ewgAu8vHgsJIRebm7EGAxc7OVNoL7+MctDdUaGeHjQx82d8T4+eGm1HP37qurNggJu8PMnopHjqqnsV+naa2tOG04/p2SrXYLoRDz9mzdKL9GwH11hVhtV03xGpf7q6NjVDIBWo8Gg0bCt5tRPFH9UVEiAXse1jUyMalUUVldWEediYOqRI5x38AATM9LtuhR7uLmyq7aWMouF3bW11CoKMQYDW6ur2VtXy83NXKSuPVStXoOltFTtMpya04bTqtT80zcSojVoNM3q0gsI0hOw4L02LKj54g2uhOv1vFNYQJnFglFR+G9REblmMwXmpu/bbq2u5seyMl5sotutyGKhWrHy3+IizvP05LOoaEZ7efNQdhZb/p5G4zxPLyb4+HB9RjrP5OTwalg47lotL+blMSM0jLmlpVx26BCTMjI4UOcY82MqJhPlixerXYZTc8pwKqysY2dW2ekbCtEKgqITqGnGKL0emb+gsTjWJKIuGg3vRUaRbjSSdPAAg/ansrm6mvM9PdE0XM4LgCqrhadyc3ghNAx/feMzoSnUD/a42MubKQEB9HRzY2pgICM9vfiu9Hi3+/1BwSzp0pVf4uMZ7e3NZ0VFJHl6oAc+Lirk65gYrvXz5ekcx+kRKV/yu9olODWnnFtvVWoBnWt9X6EmD79eVFacvh1AXIQZ9zmL2rags9TbzY2f4uKpsFgwKQoBej0TM9Lp49b4vbRMo4ksk4lpJ4zOOzZ0om/qPhbGdyHMxQU90NXVflHKLq4GtlXXNHrcQ3V1zC8v44e4eH4sK+VcDw8C9Hou8fbh2dxcqqwWPLW61njLLVKzdSvW6mq0Hh5ql+KUnDScpEtPtJNmdOm5uGqJWfVuGxfUct66+i/+dKOR3bW1PBgU3Gi7LgYDv8TZL1/+bmEBVVYrz4SEEubigkGjoY+bO4dPGnqdbjQ2OshBURSez8vlyZAQPLVarAqY//6X5rH/WhzkH56KyUTV5s14jxypdilOyenCyWJVWHtAnrYX7SMoOoHKM+zSS/Q6gj77UBtX1LQqq5XME0Iiy2Rib20tvjodES4u/FZRToBOR7jehf11dbyan8coLy9GeHraXvNUTjYhej2PBIfgqtXSzdX+vfto6+8UnLj99oAAHsnO4lx3D4Z4eLCuqopVlZXMjm64jP33ZWUE6PRc5FU/ovAcd3c+LCpkR00Na6oq6Wow4KNT/6rpmKq16ySc2ojThdO2zBLKamQpdtE+PPx6n1GXnm+AC0Hz23fo+Ml219Zw65Hjz/69VlDfw3CVjw+vhEdQYDbzen4+hWYzwXo9V/r6ck9gkN0xckymZt+oHu3tzYywMD4rKuKV/DziDAb+ExHJoJO6wwrNZj4pKmRObKxtWz93d271D+Ceo0cI1Ot5JSy8mWdvW1Xr1qldgtPSKIpz3Z15Y8k+PlyZpnYZooMZ5lvN4JQvmvcijQa/qGnUVhpO23SoZSWea78/y+qEI+u6bCmGqOY9gC1Oz+lG663cJ4sKivYRFNPtjIIpOkKRYHJiVWvXql2CU3KqcMorr2VPjixxLdqHh2+v07bRuWiJ2yATuzqzynXr1S7BKTlVOK2WpdhFe9FoqCiOPG2zHv55uKTvboeChFqqN21CMcl97tbmVOG0UoaQi3YSHNONmqpTj9Lz8tUTMl8WEXR21qoqqrdvV7sMp+M04WS1Kqw7KEPIRftw9z398hg9K9ejralsh2qE2qqka6/VOc1Q8gP5lVTUOtaUMMI5aTRayk/TpRcersX72y/bqaL2Y1EUPiwqZH55OYVmMyF6PVf5+HJPYCCav+c56pW6r9HXPhoczB0Bge1Zbrup3rZV7RKcjtOE044jpWqXIDqJoNhuVJQ1PUpPq9PQddv/2rGi9vPf4iLmlpbyalg4Ca4GdtXW8s+cXLx0Wib7BwCwumuC3WvWVlXyXG4uY70aLtXhLOr27EWxWtFonaYzSnVOE04pR0vVLkF0Eu4+vag4xbzC3YJLMSzf0n4FtaOUmhou9vLiQi8vACJdDCwqL2dnTS38vbJF8EmTwK6orGSIhwfRhtMPu++orNXVGNPTce3SRe1SnIbTxLxcOYn2cLouPQ8vPeELnXcQxAB3dzZVVdmWb99XW8u2mhrO9/JstH2h2cyaykqu9fVtzzJVUbt7j9olOBWnuHKqNVlIzT3DaaGFaIGg2O6n7NLradmGtqK4HStqX1MDAqmyWhl/+BA6wAI8FBTMBJ/Gw+eXsjI8tFrGOHGX3jG1u3fjO+FytctwGk4RTpk5+fjrjRQYHWspZ+F8TtWlFxKqw2fep+1bUDv7raKCBeXlvBEeQYKrgX219RPEhuj1XNXI1dGP5WVc7uODaye4F1O7W55na01OEU7dcxewWfcEprA48j0TSdV2YWNNNIsLQ8iqPfNF4IQ4FY1GS1kTXXoaDSTs/QaNc01V2cCbBfncGRDIZT4+AHR3dSPbbOKz4qIG4fRndTWHjUbeCo9Qo9R2V7t3L4qi2EYtipZxinAidycaxYqh9BBRpYeIAkYBzwLmkBgKvBM5oO3KH7XR/FYUSlq1u8oFi44oOLYH5WWNX513Da/GbaXzz7FWY7U2uFGtRYO1kVD+sayU3q5uJDaxWKGzsVZWYsrIwBAXp3YpTsE5wimv6ctpfXkm4eWZhAMXAI8DlqBwin16clCXwJa6aH4vCWVXhVd7VSs6KDefXpQ30qXn6q4j8re32r8gFVzk5cUnxUWEu7iQ4Gpgb20dX5QUc81JV02VFgtLKip4PCREpUrVUbN7t4RTK+n44WS1Qn7zRsnoKnMIrswhmBUkAQ8C1oBgSnx7cljfla3GWJaVhrGlzKdNShYdj0arpayo8bWEerrsQ1ec284VqeOfoaG8V1jIi3m5FFsshOj1XO/rx71B9us+LaqoQAHGe3euv0O1u/fgO3682mU4hY6/nlPhQfhgUJsc2urmR7lfTzJcEthmjmNFWTjrSnxRFOlTdjanW88pJL4X5aWXNNgeGKyn3w/3obFa2rI80UF4DB1K7Bez1S7DKXT8K6fC/W12aG1tKX65G/FjI/2B2wDF24sKv55kunbjL3MsqyoiWFkcgMkqgeXM3Lx7Ul560kYNdD/8owSTsKk7JAudtpaOH05lR07fphVpjJX45G+hD1voA9wEKB7uVPv34Khbd3Za4llVEcHy4gBqLLp2rU20jfouvYYjzuLDTbivXKJCRcJRWQqLsBqNaJ14Noz20vHDqTRT7QrQmGvwLEihByn0AP4BKG4Gav26k+XRg93WONZVRfJbYRAV5o7/kXc2wbGJlJfaj9JzcdUSvfI/6hQkHJeiYM7JwRAbq3YlHV7H/6Zs5yunM6WxGHEv2kVC0S4SgCuB1w166kK6kuvRg710YX1VJEuKQuThYQfn5t2rQZdeT88M9DnpapQjHJwpO1vCqRV0/HBygCunM6WxmnErTiWuOJU44FLgJZ0WU1g8+V6J7COeTTXRLC6Sh4cdhVano7TQfpSeX6ALAfPfUaki4ehM2Tlql+AUnCCcHPPK6UzVPzycRlRpGlHAaOwfHt6v7cofNdEsKZaHh9UQHJtIWYn9lW1i7mK0xjqVKhKOzpSdrXYJTqFjh5OxGqqdc/XbEx8evhB4ArAERVDkk8hBXQJ/ysPD7cLVsyeUHP85JsKKx5yf1CtIODwJp9bRscOp7KjaFbQrXWU2IZXZhLCC4Zz48HAvDum7stUYw9KScLaWO/8M0O2hvkvv+Cg9vYuWuHXvq1iR6AhMOdKt1xo6eDh1nPtNbUVbXUBg9WoCWc1g4B7A6udPuV9P0l0S2G6KZUW5PDx8NoJje1JWcvyvSA+/XPSZjS9BLsQxcuXUOjp2OHXw+01tRVtbgl/uBgawgQH8/fCwjzcVfj3JMHTjL0ssK8siWF3iLw8Pn4Kr1/EuPW8/F4LnO+8igqL1mHNyZHbyVtCxw6mTdeu1hKauAp+8zfRlM32BSYDi6UGV37GHh2NZXREpDw//TavTUVIYZvs5sXwN2toqFSsSHYViMmEuKMClk01629o6djjVNrHqmzgjGlM1XgXbSWQ7icB12D88vMsaz7rKCJYUdb6Hh4PjelFWXD9KLzJcg/e3X6tckehIJJxarmN/4xgr1a7A6Zz88PBVwBsGPXUhCX8/PBzP+qpIFheFUOTEDw8bPBOhGLQ6DV22fKZ2OaKDUWpq1C6hw+vY4VRXoXYFnUL9w8P7iCve1+Dh4TyvRPbRhY01USwuCiWntuPPKabV6SkrqH/wtntQMS7Lt6tckehorBJOLdaxw8ko9wDUcuzh4ejSNKKBMcBzaDCHxFDonch+bRf+qInmt+IwDlV3rJVQg+N6Ulasx8NbT9hCGQQhms9aLeHUUh08nKRbz5FoUHApzyC8PKORh4d7clDXlS11MSwpDmVPpafK1TbN4FHfpdfT+CfaylK1yxEdkLWmWu0SOrwOHk5y5dQRHH94eDnDgYcAS2AIpT49He7hYa1OT1lhOKFhOnznyr0mcXbknlPLdexwqpMrp45KV5VPYFW+/cPD/gGU+dY/PLzNHMOK0nA2lLbvw8Mh8b0oK9GTsPPLdjuncD7SrddyHTucjI47IKKiTuG5lXX8tM9EfpXCOWE63r3EjcGRjT9DlFNh5dHfa/kz28rBYisPDjXwn0vs79WMnF3F6oyGq65e1k3Pwps8AHhzQx2vrzcC8OQIA48OPz67+R9Hzdy3qJY/7vREr3W8BwS1NcX416zHn/WcA9xB+z88bHBPJMFQheuKDW1yfNE5yICIluvg4eS43Xp3zq9hV76Vr652J8Jby9d/GRn9VRV77vMi0kfboH2dBYI9tDx7gZ53NhkbPeaPEz0wWhTbz0XVCv0/ruK6XvX/G//Ks/CvlXUsuMkDRYHLv61mbFc9fUN1mK0K9yys5dPL3R0ymJrS9MPDiRx168ZfljhWV0Syoti/xQ8P6/R6qisj6bnmpVapXXRe1mq559RSHTeczEawNP4lrrYak8IPe8z8coM7F8TWf8TPj3Rj/n4zM/808n8XNxy9Fuen5d1L67f/b7up0eMGuGuA48Eyd1cdHi5wXa/65432FVrpF6rj4vj6c/YL1bKv0ErfUB1vrDdyQYy+ySu3jqT+4eFtJLKNROB6QHFzpca/O9nu3c/64eHguN7E1+1HV5zXZrWLzkEGRLRcxw0ni+Oup2O2gkUBN739FYq7XsO6zIbdcmfr8+0mbujjgqeh/jx9Q7TsL7KQWWZFUWB/kZU+IVrSiq3MSjGx9S7HHSHXUhpLHR6FO0lg50kPD3cjx6MHe4ljXVUUS4qCm3x42M87Dr+f3m3PsoWTUuSeU4t13HDSOu7sBN6uGpKidLy0po6ewVpCPTV8u8vExqMWEgIadumdjc1ZFnblW/n8iuMLEPYM1vHKKDfGfFX/r7ZXR7nRM1jH6C+reH2MK0vSzDy/qg4XHbx7iZvtqs5Z1T88vJf44r3EA5cBL+u0mMK6kOfVw+7hYRQN4Ts2o7G23j8eROdllcUoW6zjfjvpHHsmgq+uduf2X2uIfLsSnQYGhmu5sY8LW3Na58vv821G+oZoGXJSN9095xq459zjn80XKUZbWPb4oJItUz05Wq5ww/c1HH7IC1d9x7n/1BrqHx4+SHTpQaKB0Wi4uOswkj1CWO9qonuXIYQercbtcC5KgXMuZCnantbg2N9PHUHHDSetFjQ6UBzzX7pdA7SsvtWTKqNCeZ1CuLeWid9X08W/5VdOVUaFubtNvDjS9ZTtCqutvLC6jjW3efJHloXugVq6BeroFggma323X9/Qjn8P6mwUeoXwc9dz+d5cQFZ1FlRmsSIICAJ61LeJsQSRVBlG72IPonJMeGUUwpFssDjmnznhODSGU//dFKfXccMJQOcCZsf+ovA0aPA0aCipUVhy0MzrY1o+lU/yHhN1Zri536m7NqcvqWP6MFeifLRsybJgsh7fZ7YqnDDwr1NQ0PBH/GDm+QeysiwVc/muU7bP1JWS6VsKvkA8MBy8rW4Mr4mkf6kP8fngf6QM3aEjKDW17fEWRAehcetYU3Y5og4eTgYwO+aXwpKDZhSgR6CWg8VWHl9aS2KQjtsG1AfK08tqyapQ+PLq4/eMUnLrg7bSqFBQbSUl14JBB72C7a9uPt9u4qpEPYEeTV+FLU0zs7/IwhdX1f8lGRypY1+hlcUHTBwpV9BpNPQIbJ37X46uxDOQn7sO4XtLMZnVOVCSe9bHqtDWscTzEEs8gUjgHNChYWBtDOdWBNKtQE9IdjWuadkoxSWt9h5Ex6J1lW69lurg4eS4gyLK6hSeXl7L0XKFAHcN1/bU8/LFbrjo6u/x5FQqZJZZ7V5zzifHn9vammNlzk4zsb4a0h8+Pq1PaqGFdZkWfr/Zo8lz15gU7l9cy3f/cEf792qcUT5a3r/Ujdt+qcVVD19c5Ya7i3Pfb9oSN5jkgGCWlaViqtjdZuexoLDFLZstbtkQDPQCRkMXczDDKkPpXexBRHYdXumFKEezQelkl6ydkHTrtZxGUTrw35S3EqEiR+0qhAMp8/Dnl65D+V4p43BVltrlNOBvdWd4dST9SryIy1fwyyxFe/goSp2M7nImwY88QtBdU9Uuo0OTKyfhFLbFDCQ5KIyl5Qeoq9yjdjlNKtHWsNDrIAu9gGhgEOgVLUPq4hlU7k9Cvo7grCpcDmWhlMpKzx2VdOu1XMcOJwd+1km0vXJ3X+Z3Hcb3mkoOVh6Bko459NussbLB7Qgb3I5ACNCnfnsPUyjDKkNJLHIjIrsOj8N5KNlnf79MtB+NqwyIaKmOHU566dftjHZE9yc5OIol5fuprdqrdjltJtWliFT/IvAHEoALIMTiR1J1GP1KfYjOMeOXWQLpR8HU+JRXQh0aV/luaqmOHU6uPmpXINpJpZsPCxKGkaypZn9lJpR0zpFw+bpKfvE+yC/e1HcLDgFXRcew2q6cU+ZH13wtQUcr0B/KQqlw3Fn7nZ3WTcKppVocTjNnzmTmzJmkp6cD0Lt3b/71r39x6aWXApCbm8vjjz/O0qVLqaiooEePHvzzn//k2muvbempwTOo5ccQDm13ZF+SQ2NYVHGQmqp9apfjkOo0Fla7Z7DaPQPCgH712/saIxhcEUxikSth2TW4H85Dyc1XtdbOQrr1Wq7F4RQVFcW///1vunXrhqIofPHFF1x55ZVs376d3r17c8stt1BaWsqvv/5KUFAQc+bM4frrr+fPP//knHPOadnJPQJbWr7D+ve6Op5eXsdDJ6zrVGtWeHRJLXN3m6kzK4xL0PPRZW6EejnX80rVrl4sTEgiWVfH3op0KNmpdkkd0k5DPjsD8yEQ6A6MhHCLP8OrIuhT4kF0rgWf9CLIzAKzWeVqnYs+yHm/m9pLmwwlDwgI4I033uCOO+7Ay8uLmTNnMnnyZNv+wMBAXnvtNe68886WnWj5S7D2zRZW63i2ZFm4/vtqfFw1XBSnt4XTvQtqWHjAzOyr3PF11XD/4lq0Glh/u3PMNr4vvBfzwuNZVJFGlVmWHGgvHlYXhtVGMrDMj/g8CDhaXt8tWOW466U5uoTVq3EJDVG7jA6tVe85WSwWkpOTqaqqIikpCYDhw4fz3XffMX78ePz8/Jg3bx61tbWMHDmy5Sd0wm69SqPCpB9r+GyCO/+35vizL2W1Cp9vNzHnWnfbek2zrnSj54dVbDpqZlhUx7x9WGPw4LeE4SS7mNlZfkiuklRQrTWxwiOdFR5AODAANAoMMEUzuDyQ7oUGQrNkMtwzptejD3a+76b21irfaDt37iQpKYna2lq8vLz46aef6NWrFwDz5s1j4sSJBAYGotfr8fDw4KeffiIhIaHlJ/YMbvkxHMy0RbWM76ZndBe9XThtzamfG290l+P/yxKDdMT4ath4xNLhwml/aCLJkQksrDxERc1+kOVvHIqige2GHLYH5dRPhptYvz3WHMSwyjB6l9RPhuudXoByJBus1lMerzPRBwej0TpXV7saWuUbrUePHqSkpFBWVsb333/PlClTWL16Nb169eK5556jtLSUZcuWERQUxM8//8z111/P2rVr6du3b8tO7BPRGuU7jLm7TGzLsbBlasNuutxKBYMO/NzspxwK9dSQW9kxJvmo07uxpNsI5hms7ChPg5K/1C5JNFOGvpQMv1LwwzYZrq/iwbDqiOOT4WaWojt8tNNOhusSGqp2CU6hVcLJYDDYroQGDRrEli1bePfdd3niiSf44IMP2LVrF7179wagf//+rF27lg8//JCPP/64ZSd2onA6Umblod9qWTrZo8EKuh3doZBuJEf14Neqw5TXHoDO+Z3ltMo0tU1Ohju4IohuBTpCsqoxHOock+Hqw8LULsEptElfkNVqpa6ujurq+pva2pMucXU6HdbW6AbwDgc0QMe4cjiVrTkW8qsUBp4w+atFgTUZFj7YbGTJzR4YLVBaq9hdPeVVKYR5OV6YGXWu/N5tBMlusK3soFwldTKNToYLdDWHMKwylF5F7kTkOOdkuHLl1DpaHE5PP/00l156KTExMVRUVDBnzhxWrVrFkiVLSExMJCEhgbvvvps333yTwMBAfv75Z5YuXcqCBQtaoXrX+uHk1R3/Ju2oeD0777XvzrvtlxoSg3Q8OcJAtI8WFy0sP2Tm2l710zalFlrILFNIinacBQPTg7vyfVRPfqnOoLTuIMh8puIEafpi0vyK67sFuwLngb/VixHVEfQt8a6fDDejBG16VoedDFeunFpHi8MpPz+fW265hZycHHx9fenXrx9LlixhzJgxACxatIinnnqKCRMmUFlZSUJCAl988QWXXXZZi4sHwDfKKcLJ21VDnxD7kPF00RDofnz7Hee48MjvtQS4a/Bx1fDA4lqSonSqD4Yw6QwsTxhOsruezWX7oVSuksSZK9HWsMArjQUnTIZrUHQMrotnYLk/CQV6go9U1E+GW1audrmn5RImV06toWMvmQHw413w13dqV9EmRs6uYkCYrsFDuN/uMlFngXFd9Xw03o0wlR7CPRIYR3JMb36pOUJxXakqNYjOpYcpkGGVYfQsdCU8pxaPw/kONxlu7Jw5eAxs4QQDwgnCae3bsPwFtavoNMxaPSsThpPs6cqm0v0oTnC/T3RsIRYvhleH07fEi+hcS/1kuIePqDbrRcKK5bhEOM9gLbV0/HBKXQzf3qB2FU4vKyCGH2L68lNtFoV1xWqXI8QpuSl6htZGcE6Z/wmT4R5Fqahs0/Nq3N3psfVPec6pFXSsJzcbE5yodgVOy6LRsSohiWQvDzaW7cdaJrM3iI6hVmNmtXsmq90zm54MN+vvyXDzWm8yXNeuXSWYWknHDyf/OHDxAJPMxdZacv2i+CGuPz/W5ZBfmwmlalckROtoMBnuRfWT4Y6oiqBPsQdRuRZ8Ms5+MlzX7t1bvebOquOHk0YDQd0hJ0XtSjo0q0bL2q5JJHt7sa5sPxa5ShKdRI6ugu99UvneB4gDhoGXYmBYTRwDmjkZrmv3bu1RcqfQ8cMJIKSXhNNZyvcN58e4c/jRlEdOzRG5ShICqNQYWeaRzrKTJsM9xxjNuRUnTIZ7KAelsMj2Oje5cmo1ThJOct+pOawaLRu6DCXZ15c1pfsxl+9SuyQhHJ6igW2uOWxzPWEy3FH2k+F2SZRwai3OEU7BPdWuoEMo9A7lpy6D+MFcQFZ1FpRkqV2SEB3esclwQyJCuDpAlspoLc4RTnLl1CQFDZviB5PsH8jKslS5ShKijfQK7KV2CU7FOcLJL6Z+baeqArUrcRjFnkH83HUwP1iKyazOgRLHeopeCGfTO7C32iU4FecIJ4CYJNj7q9pVqG5L3GCSA4JZVpaKqWK32uUI0WlIOLUu5wmn2BGdNpxKPQL4JWEo31tLSa/KgpI8tUsSotPpHSTh1JqcKJyGq11Bu9saM5DkoDCWlu3HKFdJQqgm0iuSALcAtctwKs4TTqF9wM0XasvUrqRNlbv7Mj8hiWTKSas8CiUdf7kQITq6YeHD1C7B6ThPOGm19fed9v+mdiVtIiV6AMnBkfxevp/ayj1qlyOEOEFSRJLaJTgd5wknqO/ac6JwqnTzYX7CML7XVLO/MhNKZDZwIRyNVqOVK6c24GThNELtClrFrsi+JIfGsLjiIDVV+9QuRwhxCn0C++Dr6qt2GU7HucIpfAAYvMDYtmu2tIVqVy8WJCTxva6WvRUZUCITrwrREUiXXttwrnDS6SFqMBxaqXYlZ2xPRG+Sw+JYVJFGdXWq2uUIIZppeETnGyncHpwrnAC6XOjw4VRt8OS3hCSSXUzsKj8sV0lCdFBeLl70C+6ndhlOyfnCKXECLHte7SoalRrWk+SILiysPERlzX6oUbsiIURLDA4bjF7rfF+jjsD5PtWghPpZygv2ql0JALUu7ixJGE6ywcqO8jS5ShLCiUiXXttxvnAC6DlB9XBKC+lOcmR3fq06REXtAahVtRwhRBuQcGo7zhtOa15v99Mada4s6Tac7900bCs7CKV/tXsNQoj2EekVSYxPjNplOC3nDKfwfuAfByXp7XK6w8Fd+T6qJ79WZ1BalwZ17XJaIYSKxsSOUbsEp+ac4QT1V08b3m+zw5t0BpZ1G06ym44tZQfkKkmITubyLperXYJTc+JwuqJNwulIYBzJMb35peYIxXWH5CpJiE6om383egT0ULsMp+a84RQ1GLzDoSKnxYcyaV1Y2S2JZA9X/ijdj1IqI+6E6MwmdJmgdglOz3nDSaOBxMthy2dnfYijATH8ENuXn2qOUlSXDsbWK08I0TFpNVoui79M7TKcnvOGE0Dvq5odTmatntVdk0j2cmdj2X6scpUkhDjBkLAhhHqGql2G03PucIodccaj9nL8o/khth8/1WWTX5sBpW1dnBCiI5KBEO3DucNJo4FzboYV/9fobotGx9quw0j29mJdWSrWMrlKEkI0zV3vLkPI24lzhxPAgJth5augWGyb8nwj+DH+HH405pJbc0SukoQQZ+Si6IvwcPFQu4xOwfnDySccuo3BeuB31ncZSrKvL2tKU7HIVZIQopmkS6/9OH84AUeS7mWqSxFZ1VlQkqV2OUKIDijQLVDm0mtHWrULaA8Rsedj1XSKtyqEaCNXd7sanVandhmdRqf4xtZpdVzf43q1yxBCdFAGrYFJPSepXUan0inCCeCabtdg0BrULkMI0QFd3vVygtyD1C6jU+k04RTgFsC4uHFqlyGE6GA0aJjSe4raZXQ6nSacAG5IvEHtEoQQHcwFURfQxbeL2mV0Op0qnPoF9+Pc0HPVLkMI0YHc2vtWtUvolDpVOAHc2/9etUsQQnQQfYP6cm6Y/INWDZ0unIaED5GrJyHEGZGrJvV0unACuXoSQpxetHc0o2NHq11Gp9Upw0munoQQpzO512S08vC+ajrtJy9XT0KIpvi5+nFVwlVql9GpddpwkqsnIURTpvadirveXe0yOrVOG04gV09CiIaivaO5MfFGtcvo9Dp1OMnVkxDiZA8PfBgXnYvaZXR6nTqcQK6ehBDHDQgewNi4sWqXIZBwYkj4EIaEDVG7DCGEA3hs8GNqlyD+1unDCeDJIU+i13SKdReFEE0YFzeO/sH91S5D/E3CCeju350be8oNUCE6KxetCw8PfFjtMsQJJJz+Nm3ANELcQ9QuQwihgpsSbyLKO0rtMsQJNIqiKGoX4SgWH17ME2ueULsM0QoKFhSQ930egWMCCZ8UDoDVaCV3bi5lf5ShmBW8+ngRcUsEet+mu3TNZWZy5+VSubsSS7UFz+6ehN8cjmuYa4O2iqKQ8XYGlTsriXkgBp9BPvXHqDST9VkWVfuqMIQaiLwjEvfY48/QZH+ZjSHYQNClspidGnxdfVl0zSJ8DD5qlyJOIFdOJ7g0/lKGhg1VuwzRQtWHqileVYxbtJvd9txvc6lIqSB6WjTxT8djKjWR+X5mk8dRFIWM9zIwFhiJeTCGhBcScAlyIf2NdKx11gbti34vAk3D4xTML8BSa6HrC13xTPQka1bW8VoPVlN9qJrAcYFn/4ZFi9zd724JJgck4XSSZ4Y9g4tWnnHoqCy1Fo5+cpTI2yLRehz/422ptlCypoSwG8Pw6uWFe5w7UXdE1YfDwepGj2XMM1KTVkPElAg8unjgGu5KxC0RWI1WSjeV2rWtyaih8LdCIm+PbHCcupw6/Ib64Rrmiv9If+qy6wBQzArZX2QTOSUSjbaRVBNtrpt/N1mE1EFJOJ2ki28Xbul1i9pliLOU81UO3v298ertZbe9Jr0GxaLg1ev4dtcIV1wCXahOazycFFN9j7fG5XhwaLQaNC4aqvcff421zsrRT44SMTkCF7+G/7Bxi3ajcm8likWhcmel7YquYFEBnomeuMfLNDlq0Gv0vDTiJfnHqIOScGrE3f3vJtwzXO0yRDOVbiqlJqOG0H+ENthnLjOj0WvQeerstut99JjLzI0ezzW8PrzykvOwVFmwmq0ULCzAXGy2e03Otzl4JHjgM7DxrqHg8cFodBr2P7Gf8m3lRN4eSV1uHaXrSwm+Mpis2VmkPp5K5oeZWKotLfgERHPc1uc2egf2VrsM0QQJp0a46915cvCTapchmsFYZCRnTg7Rd0ejNbTOH2uNXkPMAzEYc43snbaXPXftoWpvFV79vGz3lsq3l1O1t4qwm8KaPI7OQ0f0PdH0eKsHXZ7uglukG9lfZBM2MYyyjWUYC4x0f7U7WoOW/F/yW6V2cWrd/LvJ7DAOTp48bcKo2FGcH3k+a7PWql2KOAO16bVYyi0cnHHw+EYrVO+vpmh5EXGPxaGYFSxVFrurJ3O5+ZSj9dzj3El4KQFLtQXFrKD30ZP2YhrucfVdcVV7qjDmG9l7316712V+kIlHdw+6PN2lwTFL1pag89DhM9CHzPcz8Rnog0avwXewL3k/5bXwkxCnY+vOk/nzHJqE0yk8P/x5/vHrPyipK1G7FHEanr08Sfi/BLttWZ9nYQgzEDw+GJcAFzQ6DZV7KvEd7AvUD1QwFZnw6Opx2uPrPOoDrS63jprDNYRcU/9MXND4IPwv9Ldre/DZg4TfFI73AO8GxzGXm8n/JZ8u/6wPLcWqoFjq720pFgUaDgIUrUy68zoGCadTCPEI4YXhL/DgygfVLkWchs5dhy7K/n6SxqBB76XHLap+AIL/Bf7kzs1F56VD564j++ts3BPc8Ug4Hk77n9pP2HVhtmeUyjaXofPWYQg0UHu0lpxvcvAZ6IN3n/rgcfFzaXQQhEuAC4ZgQ4PtOXNyCLokCBf/+td4dPOgdEMpXn28KF5djEe30welOHvSnddxSDidxkUxFzGxx0S+S/1O7VJEC4XdGAYaOPLBEawmK959vQmfbD/wxZhrtBuUYC4zkzM3B0uZBb2fHr/hfgRfGXxW56/YWYEx30jUXcdnIggcFUjN4RoOvXgI9y7uhFwls5S0FenO61hkhogzUGep44YFN3Cw9ODpGwshHNLUvlN5cKD0gnQUMlrvDLjqXHn9gtdx1TWcskYI4fikO6/jkXA6Q938u/HIoEfULkMI0UzuendeO/816c7rYCScmuGmnjcxMmqk2mUIIZrhheEv0M2/m9pliGaScGqmF0e8SLD72d0QF0K0r8m9JnNp/KVqlyHOgoRTM/m7+fPyeS+jaWz6aSGEwxgcNli64jswGa13lt7f/j6f/vWp2mWIFqpKraJwUSE1GTWYS8126zBB/Sznecl5lG8rx1JpwRBsIHB0IAEXBwD1azXl/5RP5e5KTEUm9N56vAd6E3pNqO3BXdH+Qj1C+e7y7wh0l6VIOip5zuks3T/gfg6XHWZpxlK1SxEtYK2z4hbjhv8F/o2u7ZT7bS5Ve6uIuisKQ5CByt2VZH+Zjd5fj885PphLzZhLzYRNDMM10hVToYnsL7Lrg+7+GBXekTBoDbwz8h0Jpg5OwuksaTQaXjnvFXKrctlZuFPtcsRZ8u7njXe/htMMHVN9sBq/EX549axfaiNgZADFK4upOVSDzzk+uEW5EfPA8RByDXEl9NpQjn56FMWioNFJ9297e2roU/QN7qt2GaKF5J5TC7jp3Xjv4vdkeQ0n5pHgQUVKBaYSE4qiULm3EmOeEa8+Xk2+xlJjQeuulWBSwbXdruW67tepXYZoBRJOLRTkHsQHoz7A08VT7VJEGwi/ORzXCFdSp6ey+87dZLyVQfjkcDx7NP7/21xhpuDXAgIuDGjnSkWfwD48M/QZtcsQrUTCqRV09+/OGxe8gU4jN8CdTfGyYqrTqol5KIaE5xMIuyGMnK9yqNxd2aCtpcZCxjsZuEa4yhx57SzEI4R3LnoHg67hZLuiY5JwaiXnR53PE4OfULsM0YqsRit53+cRfkN4/f2laDcCRwfiO8SXwsWFdm0tNRbS30pH66Yl5oEYNHrp0msvfq5+fDrmU8I8m17wUXQ8Ek6t6KaeN3Fj4o1qlyFaiWL5e62lk/+WaOHEJzAsNRbS30xHo9MQ+1Bsq63EK07PQ+/BzNEz6erXVe1SRCuT0Xqt7MnBT3K04qisoNtBWGotGPOMtp+NhUZqMmrQedWv4eTRw4Pc73LRuGgwBBmo2ldF6frS+uU3+DuY3kjHarQSc3cMlhoLlpr6JTf0Pno0WrmCaisGrYH3Ln6PPkF91C5FtAF5CLcNVJmquGPJHewu2q12KeI0KvdWkv5aeoPtfiP8iJoahanURN73eVTuqsRSZcEl0IWAkQEEjgtEo9E0+XqA7m90b3TBQdFyOo2Ot0a+xaiYUWqXItqIhFMbKTeWM/X3qewp2qN2KUI4FQ0aXhzxIlclXKV2KaINSed4G/Ex+PDZ2M/oFdhL7VKEcCqPnfuYBFMnIOHUhiSghGhdU/tO5Zbet6hdhmgHEk5tzMfgw6djPpWAEqKFJvaYKMusdyISTu3A19VXAkqIFriu+3Uy+0MnIwMi2lFZXRlTf5/K3uK9apciRIdxW5/bZF2mTkjCqZ1JQAlx5h4850Gm9puqdhlCBRJOKiirK+OupXfJMHMhmqBBw1NDnuKmnjepXYpQiYSTSqpN1Tyx5glWH12tdilCOBS9Vs+Lw19kQtcJapciVCThpCKrYuWNLW/w9d6v1S5FCIfg6eLJOyPfISkiSe1ShMoknBzAt/u+5bXNr2FRLGqXIoRqgtyDmDl6JokBiWqXIhyAhJODWHt0LY+veZwqU5XapQjR7uJ84vh4zMdEekWqXYpwEBJODmR/yX7uX34/OVU5apciRLtJCk/i9Qtex8/NT+1ShAORcHIwhTWFPLD8AXYV7VK7FCHalAYNU/tNZdqAaWg1Mh+AsCfh5IBqzbU8s+4ZlmYsVbsUIdqEt8GbV897lQujL1S7FOGgJJwclKIofJDyAf/d+V+silXtcoRoNYkBibw98m2ivaPVLkU4MAknB/dHzh88s/YZ8mvy1S5FiBa7suuVPJf0HK46V7VLEQ5OwqkDKK0t5bkNz7HqyCq1SxHirBi0Bp4a+hTXdb9O7VJEByHh1IHM3TeXN/98kzpLndqlCHHGIjwjeHvk2/QO6q12KaIDkXDqYA6UHOCJNU9wsPSg2qUIcVojo0by0oiXZJi4aDYJpw6ozlLHG1ve4LvU79QuRYhG+bn68dSQpxjfZbzapYgOSsKpA1uZuZJ/bfgXpXWlapcihM3Y2LE8M/QZAt0D1S5FdGASTh1cfnU+MzbMYF3WOrVLEZ1ckHsQ/xz6T0bHjla7FOEEJJycxG/pv/H65tcpqClQuxTRCV3R9QqeGPwEvq6+apcinISEkxOpMFbw7rZ3Sd6fLA/uinYR5hnGv4b9i/Ojzle7FOFkJJyc0F8Ff/HSppfYV7xP7VKEk9Kg4R/d/8Gj5z6Kp4un2uUIJyTh5KQsVgvf7/+e91Pep6yuTO1yhBMZGDKQR859hP7B/dUuRTgxCScnV1ZXxvvb3+f7/d/LYoaiReJ943l44MNcHHOx2qWITkDCqZPYV7yPN7a8webczWqXIjqYIPcg7htwH9ckXINOq1O7HNFJSDh1Mltyt/BRykf8mfen2qUIB+eh9+DWPrcypdcUPFw81C5HdDISTp2UhJRoil6j59ru13Jv/3vlQVqhGgmnTk5CShyj1WgZFTOKB895kDjfOLXLEZ2chJMAYHPOZmbumCkh1Qm56925KuEqJvecTLSPLAAoHIOEk7AjIdV5hHiEcGPijVzX/TqZ2UE4HAkn0ajdhbtJ3p/MosOLqDHXqF2OaEU9A3oyuddkLom/BBeti9rlCNEoCSdxSpXGShYcWkDy/mT2l+xXuxxxljRouCDqAm7pdQtDwoeoXY4QpyXhJM7YjoIdJKcmsyR9CbWWWrXLEWcgwC2AcXHjuDHxRuJ949UuR4gzJuEkmq3cWM78tPkkpyaTVpamdjniJO56dy6OuZjx8eNJikhCr9WrXZIQzSbhJFpkW942FhxawMojKymsKVS7nE5Lr9UzPGI44+PHc1HMRbjr3dUuSYgWkXASrUJRFHYU7GDFkRWszFxJenm62iU5PQ0azgk5h8viL2Ns3Fj83fzVLkmIViPhJNrEodJDrDiyghWZK9hVuAsF+WPWGgxaA+eEnMPwyOFcEncJEV4RapckRJuQcBJtLq8qj5VHVrIicwVb8rZgtprVLqnD0KAhMSCRYRHDGBY+jIEhA3HTu6ldlhBtTsJJtKsacw27CneRkp/C9vzt/FX4l6w3dZJIr0iGhQ+rD6SwYfi5+aldkhDtTsJJqEpRFA6XHSalIIWU/BRSClJIL0vvNN2ArjpXuvh2obt/d/qH9GdY+DCivWUKISEknITDKasrY0fBDlLyUzhQeoDM8kyOVBzBZDWpXVqLhHqE0t2/Oz0CetDdvzvd/bsT5xMnayQJ0QgJJ9EhWBUrOVU5ZJRnkFmeWf/fikwyyzM5WnnUYe5juencCPUMJcwjjEjvSFsIdffvLvPXCdEMEk6iw7NYLWRXZnOk4ggldSVUGCtsv8qN5ZQby+22HftlVo4Hmk6jQ6fRodfq0Wl1uGhdjv/8939dda74ufkR4BZAoFsgAW4B9b93DyTMM4xQj1AZzi1EK5FwEp1WnaUOrUaLXqNHo9GoXY4Q4gQSTkIIIRyOVu0ChBBCiJNJOAkhhHA4Ek5CCCEcjoSTEEIIhyPhJIQQwuFIOAkhhHA4Ek5CCCEcjoSTEK3o+eefR6PR2P1KTEy07a+trWXatGkEBgbi5eXFtddeS15ent0xMjMzGT9+PB4eHoSEhPD4449jNttPz7Rq1SoGDhyIq6srCQkJzJ49226/xWLhueeeIz4+Hnd3d7p27cpLL73EiY81/vjjj4wdO5bAwEA0Gg0pKSmNvqeNGzdy8cUX4+npiY+PDxdccAE1NTW2/fv37+fKK68kKCgIHx8fzjvvPFauXHmWn6AQ9SSchGhlvXv3Jicnx/Zr3bp1tn3Tp09n/vz5JCcns3r1arKzs7nmmmts+y0WC+PHj8doNLJhwwa++OILZs+ezb/+9S9bm8OHDzN+/HguuugiUlJSePjhh7nzzjtZsmSJrc1rr73GzJkz+eCDD9i7dy+vvfYar7/+Ou+//76tTVVVFeeddx6vvfZak+9l48aNXHLJJYwdO5bNmzezZcsW7r//frTa418dl19+OWazmRUrVrB161b69+/P5ZdfTm5ubos/S9GJKUKIVjNjxgylf//+je4rLS1VXFxclOTkZNu2vXv3KoCyceNGRVEUZdGiRYpWq1Vyc3NtbWbOnKn4+PgodXV1iqIoyhNPPKH07t3b7tgTJ05Uxo0bZ/t5/Pjxyu23327X5pprrlEmTZrUoK7Dhw8rgLJ9+/YG+4YOHao8++yzTb7fgoICBVDWrFlj21ZeXq4AytKlS5t8nRCnI1dOQrSyAwcOEBERQZcuXZg0aRKZmZkAbN26FZPJxOjRo21tExMTiYmJYePGjUD9lUrfvn0JDQ21tRk3bhzl5eXs3r3b1ubEYxxrc+wYAMOHD2f58uXs378fgB07drBu3TouvfTSM34f+fn5/PHHH4SEhDB8+HBCQ0O58MIL7a4EAwMD6dGjB19++SVVVVWYzWY++eQTQkJCGDRo0BmfS4iT6dUuQAhnMnToUGbPnk2PHj3IycnhhRde4Pzzz2fXrl3k5uZiMBjw8/Oze01oaKitCyw3N9cumI7tP7bvVG3Ky8upqanB3d2dp556ivLychITE9HpdFgsFl5++WUmTZp0xu/l0KFDQP19tDfffJMBAwbw5ZdfMmrUKHbt2kW3bt3QaDQsW7aMq666Cm9vb7RaLSEhIfz222/4+8sM7eLsSTgJ0YpOvDLp168fQ4cOJTY2lnnz5uHu7t5udcybN49vvvmGOXPm0Lt3b9u9qYiICKZMmXJGx7BarQDcfffd3HbbbQCcc845LF++nP/973+8+uqrKIrCtGnTCAkJYe3atbi7u/Pf//6XCRMmsGXLFsLDw9vsPQrnJt16QrQhPz8/unfvzsGDBwkLC8NoNFJaWmrXJi8vj7CwMADCwsIajN479vPp2vj4+NgC8PHHH+epp57ihhtuoG/fvkyePJnp06fz6quvnnHtx4KlV69edtt79uxp66pcsWIFCxYsYO7cuYwYMYKBAwfy0Ucf4e7uzhdffHHG5xLiZBJOQrShyspK0tLSCA8PZ9CgQbi4uLB8+XLb/tTUVDIzM0lKSgIgKSmJnTt3kp+fb2uzdOlSfHx8bCGRlJRkd4xjbY4dA6C6utpuRB2ATqezXQ2dibi4OCIiIkhNTbXbvn//fmJjY23nARqcS6vVNutcQjSg9ogMIZzJo48+qqxatUo5fPiwsn79emX06NFKUFCQkp+fryiKotxzzz1KTEyMsmLFCuXPP/9UkpKSlKSkJNvrzWaz0qdPH2Xs2LFKSkqK8ttvvynBwcHK008/bWtz6NAhxcPDQ3n88ceVvXv3Kh9++KGi0+mU3377zdZmypQpSmRkpLJgwQLl8OHDyo8//qgEBQUpTzzxhK1NUVGRsn37dmXhwoUKoMydO1fZvn27kpOTY2vzzjvvKD4+PkpycrJy4MAB5dlnn1Xc3NyUgwcPKopSP1ovMDBQueaaa5SUlBQlNTVVeeyxxxQXFxclJSWlzT5n4fwknIRoRRMnTlTCw8MVg8GgREZGKhMnTrR9kSuKotTU1Cj33Xef4u/vr3h4eChXX321XRgoiqKkp6crl156qeLu7q4EBQUpjz76qGIymezarFy5UhkwYIBiMBiULl26KLNmzbLbX15erjz00ENKTEyM4ubmpnTp0kX55z//aRuOriiKMmvWLAVo8GvGjBl2x3r11VeVqKgoxcPDQ0lKSlLWrl1rt3/Lli3K2LFjlYCAAMXb21sZNmyYsmjRohZ8ikIoiqyEK4QQwuHIPSchhBAOR8JJCCGEw5FwEkII4XAknIQQQjgcCSchhBAOR8JJCCGEw5FwEkII4XAknIQQQjgcCSchhBAOR8JJCCGEw5FwEkII4XAknIQQQjgcCSchhBAOR8JJCCGEw5FwEkII4XAknIQQQjgcCSchhBAOR8JJCCGEw5FwEkII4XAknIQQQjgcCSchhBAOR8JJCCGEw5FwEkII4XAknIQQQjgcCSchhBAOR8JJCCGEw5FwEkII4XD+H11Z5XlvgVzrAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 女孩的类别销量统计：\n",
    "values = np.array([gender_stats_by_buy_mount.loc[1, category] for category in category_1_list])\n",
    "\n",
    "fig=plt.figure()\n",
    "sub=fig.add_subplot(111)\n",
    "sub.pie(values, labels=category_1_list, startangle=90, autopct=lambda x: compute_fraction(x,values))\n",
    "fig.suptitle('Sales Volumn by Girl')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b35a8ed",
   "metadata": {},
   "source": [
    "### 一级类目产品销售情况分析-分年龄"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "d12967fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "baby_data = df_baby.merge(df_trade,on='user_id')\n",
    "baby_data['age_buy'] = (baby_data['day'] - baby_data['birthday'])/pd.Timedelta(days=365)\n",
    "baby_data.loc[baby_data['age_buy'] < 0, 'age_buy'] = 0\n",
    "import math\n",
    "baby_data['age_cut'] = baby_data['age_buy'].apply(lambda x:math.ceil(x))\n",
    "#查看商品购买主要集中在几岁\n",
    "baby_product = baby_data.groupby('age_cut')['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num'}).\\\n",
    "    sort_values('num',ascending=False).reset_index(drop=True)\n",
    "#查看每个年龄段主要购买产品集中在什么上面（考虑到二级分类分分散，所以用一级分类进行统计）\n",
    "baby_prod = baby_data.groupby(['age_cut','category_1'])['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num'}).\\\n",
    "    sort_values(['category_1','age_cut']).reset_index(drop=True)\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "cmap = {28:'teal',38: 'red', 50008168: 'blue', 50014815: 'green',50022520:'black',122650008:'orange'} # 定义颜色映射关系\n",
    "\n",
    "for i in baby_prod['category_1'].unique().tolist():\n",
    "    query_sql = \"category_1 ==\"+str(i)\n",
    "    label_name = \"category_1_\"+str(i)\n",
    "    ax.plot(baby_prod.query(query_sql)['age_cut'].astype('str'), baby_prod.query(query_sql)['num'], label=label_name, alpha=0.7, color=cmap[i])\n",
    "\n",
    "ax.set_xlabel('age')\n",
    "ax.set_ylabel('num')\n",
    "ax.set_title('一级类目产品销售情况分析-分年龄')\n",
    "ax.tick_params(axis='x', labelrotation=-15)\n",
    "ax.legend(loc='upper right')\n",
    "\n",
    "# 展示结果\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "07a59b2f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#查看每个年龄段不同性别主要购买产品集中在什么上面（考虑到二级分类分分散，所以用一级分类进行统计）\n",
    "baby_prod_gender = baby_data.groupby(['age_cut','category_1','gender'])['buy_mount'].sum().reset_index().rename(columns={'buy_mount':'num'}).\\\n",
    "    sort_values(['category_1','age_cut','gender']).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "f9912314",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age_cut</th>\n",
       "      <th>category_1</th>\n",
       "      <th>gender</th>\n",
       "      <th>num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age_cut  category_1  gender  num\n",
       "0        0          28       0   30\n",
       "1        0          28       1   21\n",
       "2        1          28       0   45\n",
       "3        1          28       1   40\n",
       "4        2          28       0   38"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baby_prod_gender.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "c035af7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x3000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(6,1,figsize=(16, 30))\n",
    "\n",
    "for index_i,i in enumerate(baby_prod_gender['category_1'].unique().tolist()):\n",
    "    query_sql = \"gender == 0 and category_1 ==\"+str(i)\n",
    "    label_name = \"男 category_1_\"+str(i)\n",
    "    query_sql1 = \"gender == 1 and category_1 ==\"+str(i)\n",
    "    label_name1 = \"女 category_1_\"+str(i)\n",
    "    baby_prod_gender.query(query_sql).plot(x='age_cut', y='num',ax=ax[index_i], label=label_name, alpha=0.7, color='red')\n",
    "    baby_prod_gender.query(query_sql1).plot(x='age_cut', y='num',ax=ax[index_i], label=label_name1, alpha=0.7)\n",
    "\n",
    "    ax[index_i].set_ylabel('num')\n",
    "    ax[index_i].set_title('一级类目产品%s'%i)\n",
    "    ax[index_i].legend(loc='upper right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "232e4353",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
